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Deep Learning Jobs in Bangalore (Bengaluru)

50+ Deep Learning Jobs in Bangalore (Bengaluru) | Deep Learning Job openings in Bangalore (Bengaluru)

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Tier #1 MNC
Chennai, Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Mumbai, Coimbatore, Kochi (Cochin)
4 - 10 yrs
Best in industry
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning

Job Description:

 

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model


2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge


3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines


4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 


5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms


6.Optimize and tune Deep Learnings model for best possible accuracy


7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau


8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment


9.Integrating AI&ML models with other applications using REST APIs and other connector technologies


10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

 

 

· Technology/Subject Matter Expertise

  • Sufficient expertise in machine learning, mathematical and statistical sciences
  • Use of versioning & Collaborative tools like Git / Github
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
  • Develop prototype level ideas into a solution that can scale to industrial grade strength
  • Ability to quantify & estimate the impact of ML models.

 

· Softskills Profile

  • Curiosity to think in fresh and unique ways with the intent of breaking new ground.
  • Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

 

 

· Desirable Experience:

  • Keen contributor to open source communities, and communities like Kaggle
  • Ability to process Huge amount of Data using Pyspark/Hadoop
  • Development & Application of Reinforcement Learning
  • Knowledge of Optimization/Genetic Algorithms
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
  • Optimize and tune deep learning model for best possible accuracy
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc
  • Appreciation of digital ethics, data privacy will be important
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
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Loyalytics

at Loyalytics

2 recruiters
Reshika Mendiratta
Posted by Reshika Mendiratta
Bengaluru (Bangalore), Delhi, Gurugram
2 - 5 yrs
₹18L - ₹20L / yr
Artificial Intelligence (AI)
Machine Learning (ML)
Large Language Models (LLM) tuning
Large Language Models (LLM)
Deep Learning
+2 more

Lightning Job By Cutshort⚡

 

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered).

 

About the job


This role is for an experienced Artificial Intelligence Engineer on the Marketing Data Science team at HP.This individual will be responsible for helping the team to shape its AI strategy, specifically through the creation of AI models, such as Large Language models (LLMs) and Natural Language Processing (NLP), for Marketing. Marketers are tasked with combing through tons of research and data to find appropriate insights; there is oftentimes too much information and too little time. This individual will provide Marketers with curated AI tools that help them to have the right information at the right time to make the best decisions. This is a fantastic opportunity to be part of cutting-edge AI work that enables Marketing to drive innovation and business growth.


Responsibilities

  • Design the architecture and environment to enable AI models to run
  • Assess which environments are most appropriate, whether current compute is
  • sufficient, whether we should choose an existing model or pretrain our own
  • Lead AI model construction to both evolve existing capabilities and create new ones
  • Apply AI to Marketing use cases to improve customer intelligence and data analytics
  • Teach Data Scientists how to use the created LLMs to analyze structured and unstructured data
  • Build AI applications and interfaces at scale for the bigger Marketing organization to use
  • Advise the team on best practices for AI models (i.e. parameters, data structure, etc.)
  • Evaluate LLM performance using different applications and file formats to identify the best
  • solution
  • Debug and identify causality for issues in the AI results
  • Research new AI models and trends to understand how we can maximize the usage of our
  • existing models and/or whether we should adopt new models



Requirements

  • Strong knowledge of ML and Deep Learning in the context of LLMs, NLPs and chatbots
  • Experience working with AI models using real-life (“industry”) data
  • Expert Python skills (PyTorch/TensorFlow, Pandas, NumPy, Matplotlib, creating functions)
  • Mastery in tool usage (AWS, Jupyter notebook, Streamlit or similar UIs)
  • Expertise in building and fine-tuning LLMs; experience with PEFT methods and alignment with
  • human feedback (RLHF)
  • Expertise in Prompt Engineering using various AI models
  • Understanding of the differences and advantages of Llama, Falcon, and other open source LLMs
  • Experience utilizing structured and unstructured data in LLMs (CSV, Json, TXT, PDF)
  • Mastery in database engineering (Relational and Vector databases/Embeddings)
  • Proficiency in AI frameworks (Langchain, Agents, Transformer Architecture etc.)
  • Experience utilizing both Generative and Discriminative AI models for data querying and
  • representation
  • In-depth knowledge of big data platforms, statistical software and machine learning algorithms
  • packages


Benefits

  • Be a part of the dynamic and fun team, making an impact in the retail tech industry with clients like Lulu, Aster, GMG etc.
  • Flexible Work Hours.
  • Wellness & Family Benefits.
  • Access to various learning platforms.


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Inferigence Quotient

at Inferigence Quotient

1 recruiter
Neeta Trivedi
Posted by Neeta Trivedi
Bengaluru (Bangalore)
0.5 - 2 yrs
₹4L - ₹15L / yr
Deep Learning
Speech recognition
Artificial Intelligence (AI)

This job is for Generative AI in visual modality. Candidates with relevant experience only must apply.

The selected candidate is required to perform all the necessary tasks related to data engineering, models selection, use relevant selected libraries/ APIs/ SDKs and creat an Avatar that is visually realistic, with realistic expressions, correct lip synching, and is computationally optimal to run in real time.

The candidate is required to do the necessary designer's tests and documentation as well.

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Tiger Analytics
Chennai, Bengaluru (Bangalore)
4 - 8 yrs
₹6L - ₹20L / yr
Machine Learning (ML)
Neural networks
Computer Vision
Deep Learning
Responsibilities:
• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
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Gyrus AI Private Limited
Nagaraj Krishnamurthy
Posted by Nagaraj Krishnamurthy
Bengaluru (Bangalore)
1 - 4 yrs
₹8L - ₹20L / yr
Python
OpenCV
PyTorch
Deep Learning
Image Processing
+1 more

You will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics. 

For more information visit www.gyrus.ai 


Candidate must have the following qualifications 

- Engineering or Masters degree in CS, EC, EE or related domains

- Proficient in OpenCV

- Profficiency in Python programming 

- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch

- Must have trained and deployed at least one fairly big AI model

- Exposure to AI models for Audio/Image/Video Analytics

- Exposure to one of the Cloud Computing platforms AWS/GCP

- Strong mathematical background with special emphasis towards Linear Algebra and Statistics

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Thena
Ankit Saxena
Posted by Ankit Saxena
Bengaluru (Bangalore)
2 - 4 yrs
₹15L - ₹24L / yr
Data Science
Machine Learning (ML)
Deep Learning
ML Ops
Natural Language Processing (NLP)
+2 more

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.


Responsibilities:


  • Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
  • Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
  • Optimize model performance and accuracy through experimentation, iteration, and testing.
  • Build and maintain ML infrastructure and tools to support model development and deployment.
  • Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

  • 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
  • Experience with ML Ops, including deploying and managing ML models in production environments.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with Embeddings and building on top of LLMs.
  • Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
  • Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.


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Perfios
Agency job
via Seven N Half by Susmitha Goddindla
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹15L / yr
SQL
ETL tool
python developer
MongoDB
Data Science
+15 more
Job Description
1. ROLE AND RESPONSIBILITIES
1.1. Implement next generation intelligent data platform solutions that help build high performance distributed systems.
1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
1.3. Ensure agile delivery processes.
1.4. Work collaboratively with stake holders including product and engineering teams.
1.5. Build best-practices in the engineering team.
2. PRIMARY SKILL REQUIRED
2.1. Having a 2-6 years of core software product development experience.
2.2. Experience of working with data-intensive projects, with a variety of technology stacks including different programming languages (Java,
Python, Scala)
2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
3. Optional Skill Required:
3.1. Understanding of Big Data technologies and Machine learning/Deep learning
3.2. Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
4. PREFERRED SKILLS
4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
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Gormalone LLP

at Gormalone LLP

3 recruiters
Dhwani Rambhia
Posted by Dhwani Rambhia
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹20L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Data Analytics
+18 more

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

 

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

 

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

 

Location: Bangalore

 

Roles & Responsibilities

  • Individual contributor
  • Developing and maintaining an end-to-end data science project
  • Deploying scalable applications on different platform
  • Ability to analyze and enhance the efficiency of existing products

 

What are we looking for?

  • 3 to 5 Years of experience as a Data Scientist
  • Skilled in Data Analysis, EDA, Model Building, and Analysis.
  • Basic coding skills in Python
  • Decent knowledge of Statistics
  • Creating pipelines for ETL and ML models.
  • Experience in the operationalization of ML models
  • Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
  • Hands-on experience in Keras, PyTorch or Tensorflow

 

 

Basic Qualifications

  • Tech/BE in Computer Science or Information Technology
  • Certification in AI, ML, or Data Science is preferred.
  • Master/Ph.D. in a relevant field is preferred.

 

 

Preferred Requirements

  • Exp in tools and packages like Tensorflow, MLFlow, Airflow
  • Exp in object detection techniques like YOLO
  • Exposure to cloud technologies
  • Operationalization of ML models
  • Good understanding and exposure to MLOps

 

 

Kindly note: Salary shall be commensurate with qualifications and experience

 

 

 

 

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TIGI HR Solution Pvt. Ltd.

at TIGI HR Solution Pvt. Ltd.

1 video
31 recruiters
Happy Kantesariya
Posted by Happy Kantesariya
Bengaluru (Bangalore)
3 - 5 yrs
₹7L - ₹15L / yr
Python
C++
CUDA
TensorFlow
PyTorch
+4 more

About the role:

Looking for an engineer to apply Deep Learning algorithms to implement and improve perception algorithms related to Autonomous vehicles. The position requires you to work on the full life-cycle of Deep learning development including data collection, feature engineering, model training, and testing. One will have the opportunity to implement a state-of-the-art Deep learning algorithm and apply it to real end-to-end production. You will be working with the team and team lead on challenging Deep Learning projects to deliver product quality improvements.

Responsibilities:

  • Build novel architectures for classifying, detecting, and tracking objects.
  • Develop efficient Deep Learning architectures that can run in real-time on NVIDIA devices.
  • Optimize the stack for deployment on embedded devices
  • Work on Data pipeline – Data Acquisition, pre-processing, and analysis.
  •  

Skillsets:

  • Languages: C++, Python.
  • Frameworks: CUDA, TensorRT, Pytorch, Tensorflow, ONNX.
  • Good understanding of Linux and Version Control (Git, GitHub, GitLab).
  • Experienced with OpenCV, Deep Learning to solve image domain problems.
  • Strong understanding of ROS.
  • Skilled with software design, development, and bug-fixing.
  • Coordinate with team members for the development and maintenance of the package.
  • Strong mathematical skills and understanding of probabilistic techniques.
  • Experience handling large data sets efficiently.
  • Experience with deploying Deep Learning models for real-time applications on Nvidia platforms like Drive AGX Pegasus, Jetson AGX Xavier, etc.


Add On Skills:

  • Frameworks: Pytorch Lighting
  • Experience with autonomous robots
  • OpenCV projects, Deep Learning projects
  • Experience with 3D data and representations (point clouds, meshes, etc.)
  • Experience with a wide variety of Deep learning Models (e.g: LSTM, RNN, CNN, GAN, etc.)
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Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
2 - 5 yrs
₹6L - ₹20L / yr
Computer Vision
Image Processing
Deep Learning
Machine Learning (ML)

Introduction

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, and the Spinal Kinetics as our partners.

 

Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

 

 

Requirements:

  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet deadlines
  • End to end deployment of deep learning models.
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Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
4 - 8 yrs
₹20L - ₹45L / yr
SVM
OpenCV
Machine Learning (ML)
Deep Learning
Artificial Intelligence (AI)
+6 more

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

 

Your Roles and Responsibilities

Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.

The role involves computer vision tasks including development customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.), and traditional Image Processing (OpenCV, etc.). The role is research-focused and would involve going through and implementing existing research papers, deep dive of problem analysis, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

 

 

Primary Responsibilities

  • Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
  • Formulate and design AI capabilities of our stack with special focus on computer vision.
  • Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
  • Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
  • Organize regular reviews and discussions.
  • Keep the team up-to-date with latest industrial and research updates.
  • Publish research and clinical validation papers

 

Requirements

  • 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
  • Prior experience in leading and managing a team.
  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Background in publishing research papers and/or patents 
  • Computer Vision and AI Research background in medical domain will be a plus
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet the deadline
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Curl Tech
Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 10 yrs
₹15L - ₹25L / yr
Deep Learning
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
+1 more

Company Name: Curl Tech

Location: Bangalore

Website: www.curl.tech

Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.

Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).

If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!

Designation: Data Scientist or Junior Data Scientist (according to experience)

Job Description:

Good with Machine Learning and Deep learning, good with programming and maths.

Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.

Responsibilities:

  • The candidate will be working on many image analytics/numerical data projects.

  • Candidate will be building various machine learning models depending upon the requirements.

  • Candidate would be responsible for deployment of the machine learning models.

  • Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.

    What we are looking for candidates with:

  • Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.

  • Proven code proficiency in Python,C/C++ or any other AI language of choice.

  • Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent

    research.

  • Understanding how things work internally in ML and DL models is a must.

  • Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.

  • Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a

    plus.

  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.

Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.

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Bengaluru (Bangalore), Hyderabad
6 - 15 yrs
₹40L - ₹70L / yr
Deep Learning
Machine Learning (ML)
Compiler
LLVM
MLIR
+1 more

Job Title: Chief Engineer: Deep Learning Compiler Expert

 

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

 

Necessary Skills / Attributes:

  • 6 to 15 years of experience in the field of compiler design and graph mapping.
  • 2+ years hands-on experience with MLIR and/or LLVM.
  • Experience with multiple toolchains, compilers, and Instruction Set Architectures.
  • Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
  • Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
  • Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
  • Familiarity with parallelization techniques for ML acceleration.
  • Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
  • Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
  • Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
  • Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
  • Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
  • Experience with Hardware and Software Co-design.

 

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

 

Work Profile:

  • Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
  • Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
  • Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
  • Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
  • Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
  • Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
  • Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
  • Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
  • Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
  • Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
  • Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

 

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

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Material Depot

at Material Depot

1 recruiter
Sarthak Agrawal
Posted by Sarthak Agrawal
Hyderabad, Bengaluru (Bangalore)
2 - 6 yrs
₹12L - ₹20L / yr
Data Science
Machine Learning (ML)
Deep Learning
R Programming
Python
+1 more

Job Description

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

In this role, you will:

  • Extensive knowledge in machine learning and deep learning techniques
  • Solid background in image processing/computer vision
  • Experience in building datasets for computer vision tasks
  • Experience working with and creating data structures / architectures
  • Proficiency in at least one major machine learning framework
  • Experience visualizing data to stakeholders
  • Ability to analyze and debug complex algorithms
  • Good understanding and applied experience in classic 2D image processing and segmentation
  • Robust semantic object detection under different lighting conditions
  • Segmentation of non-rigid contours in challenging/low contrast scenarios
  • Sub-pixel accurate refinement of contours and features
  • Experience in image quality assessment
  • Experience with in depth failure analysis of algorithms
  • Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills
  • Mentor and support other technical team members in the organization
  • Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
  • Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

How you will do this:

  • You’re part of an agile, multidisciplinary team.
  • You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
  • You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
  • You experiment, test, try, fail, and learn continuously.
  • You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

For this role, you must have:

  • Strong knowledge of and experience with the functional programming paradigm.
  • Experience conducting code reviews, providing feedback to other engineers.
  • Great communication skills and a proven ability to work as part of a tight-knit team.
Read more
Statusneo

at Statusneo

6 recruiters
Yashika Sharma
Posted by Yashika Sharma
Hyderabad, Bengaluru (Bangalore)
2 - 4 yrs
₹2L - ₹4L / yr
Data Science
Computer Vision
Natural Language Processing (NLP)
Machine Learning (ML)
Python
+2 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
Banyan Data Services

at Banyan Data Services

1 recruiter
Sathish Kumar
Posted by Sathish Kumar
Bengaluru (Bangalore)
3 - 15 yrs
₹6L - ₹20L / yr
Data Science
Data Scientist
MongoDB
Java
Big Data
+14 more

Senior Big Data Engineer 

Note:   Notice Period : 45 days 

Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA. 

 

We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure. 

 

It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges. 

 

 

Key Qualifications

 

·   5+ years of experience working with Java and Spring technologies

· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations

· Knowledge of microservices architecture is plus 

· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra

· Experience with Kafka or any streaming tools

· Knowledge of Scala would be preferable

· Experience with agile application development 

· Exposure of any Cloud Technologies including containers and Kubernetes 

· Demonstrated experience of performing DevOps for platforms 

· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity

· Exposure to Graph databases

· Passion for learning new technologies and the ability to do so quickly 

· A Bachelor's degree in a computer-related field or equivalent professional experience is required

 

Key Responsibilities

 

· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture

· Design and develop the big data-focused micro-Services

· Involve in big data infrastructure, distributed systems, data modeling, and query processing

· Build software with cutting-edge technologies on cloud

· Willing to learn new technologies and research-orientated projects 

· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed 

Read more
Yottaasys AI LLC

at Yottaasys AI LLC

5 recruiters
Vinayak sg
Posted by Vinayak sg
Bengaluru (Bangalore)
1 - 5 yrs
₹6L - ₹15L / yr
Data Science
Data Scientist
Python
Computer Vision
Keras
+7 more
Description
Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
Read more
Bengaluru (Bangalore)
5 - 8 yrs
₹30L - ₹50L / yr
Machine Learning (ML)
Deep Learning
Data Science
Neural networks

Basic Qualifications:

  • Five+ years experience working in a Big Data Software Development role
  • Experience managing and deploying ML models in real world environments
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
  • Experience working with Python, Scala, Spark or other open-source software with data science libraries
  • Experience in advanced math and statistics
  • Excellent familiarity with command line linux environment
  • Able to understand various data structures and common methods in data transformation
  • Experience deploying machine learning models
Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).
Read more
Glance

at Glance

1 recruiter
Sandeep Shadankar
Posted by Sandeep Shadankar
Bengaluru (Bangalore)
5 - 10 yrs
₹50L - ₹80L / yr
Data Science
Machine Learning (ML)
Artificial Intelligence (AI)
Python
Deep Learning
+6 more

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

 

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

 

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

 

Basic Qualifications:

  • Five+ years experience working in a Data Science role
  • Extensive experience developing and deploying ML models in real world environments
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
  • Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
  • Experience in advanced math and statistics
  • Excellent familiarity with command line linux environment
  • Able to understand various data structures and common methods in data transformation
  • Experience deploying machine learning models and measuring their impact
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

 

Preferred Qualifications

  • Experience developing recommendation systems
  • Experience developing and deploying deep learning models
  • Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
  • Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
  • Experience with being actively engaged in data science or other research-oriented position
  • You would be comfortable collaborating with cross-functional teams.
  • Active personal GitHub account.
Read more
Yottaasys AI LLC

at Yottaasys AI LLC

5 recruiters
Dinesh Krishnan
Posted by Dinesh Krishnan
Bengaluru (Bangalore), Singapore
2 - 5 yrs
₹9L - ₹20L / yr
Data Science
Deep Learning
R Programming
Python
Machine Learning (ML)
+2 more
We are a US Headquartered Product Company looking to Hire a few Passionate Deep Learning and Computer Vision Team Players with 2-5 years of experience! If you are any of these:
1. Expert in deep learning and machine learning techniques,
2. Extremely Good in image/video processing,
3. Have a Good understanding of Linear algebra, Optimization techniques, Statistics and pattern recognition.
Then u r the right fit for this position.
Read more
Remote, Bengaluru (Bangalore)
4 - 8 yrs
₹21L - ₹23L / yr
Machine Learning (ML)
Python
Deep Learning
ML Tools
NLP Tools
+2 more
  • Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
  • Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
  • Partner with data scientists to understand and implement machine learning algorithms. 
  • Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
  • Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
  • Mentor junior team members 

 

Who we have in mind:

  • Graduate in Computer Science or related field, or equivalent practical experience. 
  • 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
  • Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
  • Familiarity with deep learning frameworks such as TensorFlow or Keras
  • Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
  • Understand machine learning principles (training, validation, etc.) 
  • Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
  • Experience deploying highly scalable software supporting millions or more users 
  • Experience building applications on cloud  (AWS or Azure) 
  • Experience working in scrum teams with Agile tools like JIRA
  • Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users

 

 

 

 

Read more
Bidgely

at Bidgely

1 recruiter
Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 8 yrs
₹20L - ₹40L / yr
Data Science
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Artificial Neural Network (ANN)
+6 more
Roles and Responsibilities

● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.

● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.

● Productize has proven or working models into production-quality code.

● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions

● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.

● File patents for innovative solutions that add to the company's IP portfolio

Requirements

● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.

● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)

● Experience in productizing models to code in a fast-paced start-up
environment.

● Fluency in analytical tools such as Matlab, R, Weka etc.

● Strong intuition for data and Keen aptitude on large scale data analysis

● Strong communication and collaboration skills.
Read more
Bengaluru (Bangalore)
6 - 15 yrs
₹40L - ₹90L / yr
Data Science
Deep Learning
Data Scientist
Machine Learning (ML)
Artificial Neural Network (ANN)
+9 more

Responsibilities

  • Building out and manage a young data science vertical within the organization

  • Provide technical leadership in the areas of machine learning, analytics, and data sciences

  • Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.

  • Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.

  • Develop heuristics, algorithms, and models to deanonymize entities on public blockchains

  • Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.

  • Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.

  • Develop in-house algorithms to generate risk scores for blockchain transactions.

  • Work with data engineers to implement the results of your work.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Build, scale and deploy holistic data science products after successful prototyping.

  • Clearly articulate and present recommendations to business partners, and influence future plans based on insights.

 

Preferred Experience

 

  • >8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus

  • Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground 

  • Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)

  • Excellent communication skills and analytical skills

What you’ll get

  • Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you

  • An excellent culture, we encourage collaboration, growth, and learning amongst the team

  • Competitive salary and equity

  • An autonomous and flexible role where you will be trusted with key tasks.

  • An opportunity to have a real impact and be part of a company with purpose.

Read more
Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
5 - 8 yrs
₹12L - ₹30L / yr
Artificial Intelligence (AI)
Computer Vision
Deep Learning
PyTorch
Image Processing
+2 more

Sr AI Scientist, Bengaluru

Job Description

Introduction

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

 Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

 

Requirements:

  • 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet deadlines
Read more
Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
3 - 7 yrs
₹7L - ₹20L / yr
Computer Vision
Image Processing
Deep Learning
Algorithms

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

 

Requirements:

  • 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
  • Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
  • CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
  • Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
  • End to end deployment of deep learning models.
Read more
It's a deep-tech and research company.
Bengaluru (Bangalore)
3 - 8 yrs
₹10L - ₹25L / yr
Data Science
Python
Natural Language Processing (NLP)
Deep Learning
Long short-term memory (LSTM)
+8 more
Job Description: 
 
We are seeking passionate engineers experienced in software development using Machine Learning (ML) and Natural Language Processing (NLP) techniques to join our development team in Bangalore, India. We're a fast-growing startup working on an enterprise product - An intelligent data extraction Platform for various types of documents. 
 
Your responsibilities: 
 
• Build, improve and extend NLP capabilities 
• Research and evaluate different approaches to NLP problems 
• Must be able to write code that is well designed, produce deliverable results 
• Write code that scales and can be deployed to production 
 
You must have: 
 
• Fundamentals of statistical methods is a must 
• Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM 
• A solid foundation in Python, data structures, algorithms, and general software development skills. 
• Ability to apply machine learning to problems that deal with language 
• Engineering ability to build robustly scalable pipelines
 • Ability to work in a multi-disciplinary team with a strong product focus
Read more
Analytics Consulting Company | REMOTE
Remote, Bengaluru (Bangalore)
2 - 4 yrs
₹18L - ₹20L / yr
Data Science
R Programming
Python
MongoDB
SQL
+3 more
Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.
 
Our client provides data-based process optimization and analytics solutions to businesses worldwide. Their innovative algorithms and customized IT solutions cater to complex problems related to every field or industry, through tools that are non standard and are backed-up by extensive research. They serve startups as well as large, medium and small enterprises, a majority of their clients being industry leaders.
 
With registered offices in India, USA and UAE, their projects support various sectors and functions like logistics, IT, Retail, Ecommerce, Healthcare industry among others, across Asia, America and Europe. The founder holds a Master’s degree from IIT and a PhD in Operations Research from USA, with rich experience in Optimization and Analytics for various industries. His team of top scientists and pedagogy experts are focusing on innovative revenue generation ideas with minimum operational costs.
 
As a Data Scientist, you will apply expertise in machine-learning, data mining and statistical methods to design, prototype, and build the next-generation analytics engines and services.
 
What you will do:
  • Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
  • Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
  • Collaborating with data engineers & architects to implement and deploy scalable solutions
  • Communicating results to diverse audiences with effective writing and visualizations
  • Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
  • Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

 

 

What you need to have:
  • 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
  • Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
  • Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
  • Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
  • Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
  • Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
  • DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
Read more
It's a deep-tech firm
Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 10 yrs
₹5L - ₹20L / yr
Data Science
Python
Natural Language Processing (NLP)
Deep Learning
TensorFlow
+2 more
  • Your responsibilities:
  • Build, improve and extend NLP capabilities
  • Research and evaluate different approaches to NLP problems
  • Must be able to write code that is well designed, produce deliverable results
  • Write code that scales and can be deployed to production
You must have:
  • Fundamentals of statistical methods is a must
  • Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM
  • A solid foundation in Python, data structures, algorithms, and general software development skills.
  • Ability to apply machine learning to problems that deal with language
  • Engineering ability to build robustly scalable pipelines
  • Ability to work in a multi-disciplinary team with a strong product focus
Read more
Nanonets

at Nanonets

2 candid answers
1 product
Neil Shroff
Posted by Neil Shroff
Remote, Mumbai, Bengaluru (Bangalore)
3 - 10 yrs
$25K - $50K / yr
Deep Learning
TensorFlow
Machine Learning (ML)
Python

We are looking for an engineer with ML/DL background.


Ideal candidate should have the following skillset

1) Python
2) Tensorflow
3) Experience building and deploying systems
4) Experience with Theano/Torch/Caffe/Keras all useful
5) Experience Data warehousing/storage/management would be a plus
6) Experience writing production software would be a plus
7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.
8) Ideal candidate would have extensive experience with computer vision applications


Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:

1) Define Problem Statement (input -> output)
2) Preprocess Data
3) Build DL model
4) Test on different datasets using Transfer Learning
5) Parameter Tuning
6) Deployment to production


Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)

Read more
Accolite Software

at Accolite Software

1 video
3 recruiters
Nikita Sadarangani
Posted by Nikita Sadarangani
Remote, Bengaluru (Bangalore)
3 - 10 yrs
₹5L - ₹24L / yr
Data Science
R Programming
Python
Deep Learning
Neural networks
+3 more
  • Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

  • optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Doing ad-hoc analysis and presenting results
  • Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

  • Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

  • of its performance
  • Strong in Python is a must.
  • Strong in Data Analysis and mining is a must
  • Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

  • integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

Read more
US based AI startup company
Agency job
via Multi Recruit by Santhosh Kumar KR
Bengaluru (Bangalore)
9.5 - 11.5 yrs
₹25L - ₹50L / yr
Deep Learning
Natural Language Processing (NLP)
Natural Language Toolkit (NLTK)
Data Science
Machine Learning (ML)
  • Strong in problem solving, algorithms and data structures
  • Proficient in Python
  • Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
  • Experience with knowledge Graph or any graph based system is plus
  • Able to train and deploy models
  • Broad knowledge of machine learning algorithms and principles
  • Performance profiling and Tuning
  • Communicate and propose solutions to business challenges
  • Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
  • Keep abreast with the latest technological advances
  • Team mentoring and leadership skills.
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Inferigence Quotient

at Inferigence Quotient

1 recruiter
Neeta Trivedi
Posted by Neeta Trivedi
Bengaluru (Bangalore)
1 - 3 yrs
₹3.6L - ₹6L / yr
Python
Deep Learning
Machine Learning (ML)
RESTful APIs
Firebase
Implementation and testing of advanced computer vision algorithms.
Dataset search, preparation, annotation, training, testing, fine tuning of vision CNN models.
Detailed analysis of results.
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Couture.ai

at Couture.ai

4 recruiters
Deleted User
Posted by Deleted User
Bengaluru (Bangalore)
4 - 7 yrs
₹18L - ₹35L / yr
Product Management
Decision Science
Machine Learning (ML)
Deep Learning
Product Strategy
+2 more
Job Description: Decision Science Openings at Couture AI
About Company
Couture AI Platform provides Pluggable Building Blocks to entire
AI stack, which are used to build and productionize varied
enterprise ML and deep learning use cases. It has enabled some
of largest global organizations implement specific vertical
targeted products build on top of its proprietary AI platform.
Nature of Business Artificial Intelligence Platform
Company Website www.couture.ai
Job Designation Product Manager - Decision Science
Job Location Bengaluru
Job Description &
Skills Required
Basic Qualifications:
• Bachelors (+Masters preferred) in Computer
Science/Mathematics/Research (Machine Learning, Deep
Learning, Statistics, Data Mining, Game Theory or core
mathematical areas) from Tier-1 institutes (IITs, IISc, BITS, IIITs,
top-ranked global Universities) with good individual academic
score.
Looking for decision science managers.
• Strong working knowledge of deep learning, machine
learning, and statistics.
- Domain understanding of Personalization, Search, Visual
and Videos.
• Expertise in using Python, statistical/machine learning libs.
• 5+ years of hands-on experience defining large scale AI
solutions and its deployment for millions of customers.
• Expertise with understanding the raw data, data
transformation and feature selection.
• Expertise with understanding of metric-driven impact-analysis
of the AI solutions.
• Ability to think creatively and solve problems.
Key Responsibilities:
• Take ownership of end-to-end engagement from defining to
delivering the business requirements, working with various
stakeholders within Couture AI and customers.
• Create feedback loops to generate the product roadmaps.
• Formulate the appropriate predictive, analytic, ML or Deep
learning solutions leveraging Couture AI Platform.
• Carry out a cost benefit comparison of various solutions, not
only driven by analytical rigor of the solutions, but also the
pragmatic aspects of deployment, data and adoption cost.
• Work with platform and tech teams to implement the
solutions.
• Drive adoption of the Couture AI Platform solutions via
demonstrating improvement in success metrics and interfacing
with business partners from other teams.
• Building business cases and models to quantify new
opportunities, using data and solid business judgment.
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Couture.ai

at Couture.ai

4 recruiters
Shobhit Agarwal
Posted by Shobhit Agarwal
Bengaluru (Bangalore)
3 - 8 yrs
₹30L - ₹40L / yr
Deep Learning
TensorFlow
Data Science
Artificial Neural Network (ANN)
Scala
+2 more
Looking for senior data science researchers.

Basic Qualifications:
∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes.
∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.
∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc).
∙Strong working knowledge of deep learning, machine learning, and statistics.
- Deep domain understanding of Personalization, Search and Visual.
∙Strong math skills with statistical modeling / machine learning.
∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow.
∙Experience in using Python, statistical/machine learning libs.
∙Ability to think creatively and solve problems.
∙Data presentation skills.

Preferred:
∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities.
∙Or, Publications in highly accredited journals (If available, please share links to your published work.).
∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
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Digital Aristotle

at Digital Aristotle

2 recruiters
Digital Aristotle
Posted by Digital Aristotle
Bengaluru (Bangalore)
3 - 6 yrs
₹5L - ₹15L / yr
Deep Learning
Natural Language Processing (NLP)
Machine Learning (ML)
Python

JD : ML/NLP Tech Lead

- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEd

WHAT ARE WE BUILDING :

- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured. 

 

- We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.

Required Skill sets :

- Wisdom to know when to hustle and when to be calm and dig deep. Strong can do mentality, who is joining us to build on a vision, not to do a job.

- A deep hunger to learn, understand, and apply your knowledge to create technology.

- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.

- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.

- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.

- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.

- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.

- Good understanding of Algorithms and Data Structures.

- Strong programming experience in C++/Java/Lisp/Haskell.

- Good written and verbal communication.

Desired Skill sets :

- Passion for well-engineered product and you are - ticked off- when something engineered is off and you want to get your hands dirty and fix it.

- 3+ yrs of research experience in Machine Learning, Deep Learning and NLP

- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision/Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA, FOCS etc)

- Open Source Contribution (include the link to your projects, GitHub etc.)

- Knowledge of functional programming.

- International level participation in ACM ICPC, IOI, TopCoder, etc

 

- International level participation in Physics or Math Olympiad

- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory, etc.

What can you expect :

- Opportunity to work on the interesting and hard research problem, to see the real application of state-of-the-art research into practice.

- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.

- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.

- Learn effective engineering habits required to build/deploy large production-ready ML applications.

- Ability to do quick iterations and deployments.

- We would be excited to see you publish papers (though certain restrictions do apply).

Website : http://Digitalaristotle.ai


Work Location: - Bangalore

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Bengaluru (Bangalore)
4 - 7 yrs
₹10L - ₹20L / yr
Data Science
Python
Machine Learning (ML)
Deep Learning
SQL
Work-days: Sunday through Thursday
Work shift: Day time


  •  Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge
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SensoVision System

at SensoVision System

1 recruiter
Vikram Jain
Posted by Vikram Jain
Bengaluru (Bangalore)
1 - 4 yrs
₹4L - ₹6L / yr
Image Processing
computer vision
C++
OpenCV
Linux/Unix
+2 more

Selected candidates day-to-day responsibilities include:

  1. Working on computer vision/image processing applications like object classification, segmentation, etc.
  2. Working on deep learning algorithms for machine vision based inspection usecases
  3. Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data
  4. Having full stack development experience will be plus
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Zycus

at Zycus

10 recruiters
madhavi JR
Posted by madhavi JR
Bengaluru (Bangalore)
2 - 13 yrs
₹5L - ₹15L / yr
Machine Learning (ML)
Natural Language Processing (NLP)
Image Processing
Artificial Intelligence (AI)
Deep Learning

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

  • Experience in predictive modelling and predictive software development
  • Skilled in Java, C++, Perl/Python (or similar scripting language)
  • Experience in using R, Matlab, or any other statistical software
  • Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
  • Strong communication and data presentation skills
  • Classification (svm, decision tree, random forest, neural network)
  • Regression (linear, polynomial, logistic, etc)
  • Classical Optimization(gradient descent, newton raphson, etc)
  • Graph theory (network analytics)
  • Heuristic optimisation (genetic algorithm, swarm theory)
  • Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

  • Experience: 3-9 years
  • The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
  • The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
  • Preferred experience with large data sets & distributed computing in Hadoop ecosystem
  • Fluency with databases

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Dataweave Pvt Ltd

at Dataweave Pvt Ltd

32 recruiters
Sanket Patil
Posted by Sanket Patil
Bengaluru (Bangalore)
6 - 10 yrs
Best in industry
Machine Learning (ML)
Python
Data Science
Natural Language Processing (NLP)
Deep Learning
+2 more
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.

Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.

How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!

What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.

Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.


We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).


Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.

Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
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Artivatic

at Artivatic

1 video
3 recruiters
Layak Singh
Posted by Layak Singh
Bengaluru (Bangalore)
8 - 15 yrs
₹15L - ₹25L / yr
Machine Learning (ML)
Technical Architecture
Artificial Intelligence (AI)
Deep Learning
RESTful APIs
+4 more
About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.What We are Looking for?- We are looking experienced, seasoned technology professional or entrepreneur who have hands on building deep-tech/SaaS products. - Someone who think to build next billion dollar tech enterprise company based out of India which can solve finance/insurance/healthcare problem at massive scale. Someone who live for code and breathe for code. Skills/Experience :- More than 5+ years technology product building experience - Have either worked in startups or in large enterprises for scalable products- Knowledge in SCALA/Java/Python/Cassandara/Deeplearning/AI/ML/architecture- Data science/Algorithms/Statistics/Mathematics expert - Someone looking to build next billion dollar enterprise - Hands on-coding experience - Willing to work with small team- Willing to work in startup environment - Ability to lead technology team, execute projects well- Building innovative product ideas, algorithms and development - Someone who can built exceptional tech team, convert business problems in to technology solutions - Someone who think to start own companyCompensation & Equity :- Being startup, compensation is not high. Equity 3-4%. CTO Can also invest in company to buy more equity if want based on current valuation with some discount on it.
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Artivatic

at Artivatic

1 video
3 recruiters
Layak Singh
Posted by Layak Singh
Bengaluru (Bangalore)
2 - 7 yrs
₹5L - ₹12L / yr
OpenCV
Machine Learning (ML)
Deep Learning
Python
Artificial Intelligence (AI)
+1 more
About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.Skills : - We at artivatic are seeking for passionate, talented and research focused computer engineer with strong machine learning and computer vision background to help build industry-leading technology with a focus in document text extraction and parsing using OCR across different languages.Qualifications :- Bachelors or Master degree in Computer Science, Computer vision or related field with specialization in Image Processing or machine learning.- Research experience in Deep Learning models for Image processing or OCR related field is preferred.- Publication record in Deep Learning models for Computer Vision conferences/journals is a plus.Required Skills :- Excellent skills developing in Python in Linux environment. Programming skills with multi-threaded GPU Cuda computing and API Solutions.- Experience applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images.- Good knowledge of Computer Science, math and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.)- Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc.- Broad Computer Vision knowledge - Construction, Feature Detection, Segmentation, Classification; Machine/Deep Learning - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution.- Familiarity with OpenCV, Dlib, Yolo, Capslule Network or similar and Open Source AR platforms and products- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed in software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in- Document and Text Extraction.- Image recognition, Object Identification and Visual Recognition - Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.- Be responsible for measuring and optimizing the quality of your algorithmsExperience : 3 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore
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Artivatic

at Artivatic

1 video
3 recruiters
Layak Singh
Posted by Layak Singh
Bengaluru (Bangalore)
3 - 10 yrs
₹6L - ₹12L / yr
Python
Machine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
TensorFlow
+3 more
Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years
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Artivatic

at Artivatic

1 video
3 recruiters
Layak Singh
Posted by Layak Singh
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹10L / yr
Artificial Intelligence (AI)
Python
Natural Language Processing (NLP)
Deep Learning
Machine Learning (ML)
+3 more
We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.
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Artivatic

at Artivatic

1 video
3 recruiters
Layak Singh
Posted by Layak Singh
Bengaluru (Bangalore)
3 - 7 yrs
₹6L - ₹14L / yr
Python
Machine Learning (ML)
Artificial Intelligence (AI)
Deep Learning
Natural Language Processing (NLP)
+3 more
About Artivatic : Artivatic is a technology startup that uses AI/ML/Deep learning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 25+ team focus on technology. The artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access, and health benefits with alternative data sources to increase their productivity, efficiency, automation power, and profitability, hence improving their way of doing business more intelligently & seamlessly.  - Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, healthcare, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more.   Job description We at artivatic are seeking for passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. The ideal candidate will have research/implementation experience in modeling and developing NLP tools and have experience working with machine learning/deep learning algorithms. Roles and responsibilities Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing. Developing NLP based tools and solutions end to end. Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.Be responsible for measuring and optimizing the quality of your algorithms Requirements Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc Good understanding of Rule-based, Statistical and probabilistic NLP techniques. Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc. Good understanding of Machine learning and Deep learning algorithms. Good knowledge of Data Structures and Algorithms. Strong programming skills in Python/Java/Scala/C/C++. Strong problem solving and logical skills. A go-getter kind of attitude with the willingness to learn new technologies. Well versed in software design paradigms and good development practices. Basic Qualifications Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language - Processing, Machine Learning or Deep Learning. Publication record in conferences/journals is a plus. 2+ years of working/research experience building NLP based solutions is preferred. If you feel that you are the ideal candidate & can bring a lot of values to our culture & company's vision, then please do apply. If your profile matches as per our requirements, you will hear from one of our team members. We are looking for someone who can be part of our Team not Employee. Job Perks Insurance, Travel compensation & others
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Lincode Labs India Pvt Ltd

at Lincode Labs India Pvt Ltd

1 video
4 recruiters
Ritika Nigam
Posted by Ritika Nigam
Bengaluru (Bangalore)
4 - 10 yrs
₹6L - ₹20L / yr
OpenCV
Deep Learning
Artificial Intelligence (AI)
TensorFlow
Python
+1 more
Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code.

This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.
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Pluto Seven Business Solutions Pvt Ltd
Sindhu Narayan
Posted by Sindhu Narayan
Bengaluru (Bangalore)
2 - 7 yrs
₹4L - ₹20L / yr
Statistical Modeling
Data Science
TensorFlow
Python
Machine Learning (ML)
+5 more
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore
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Spotmentor Technologies

at Spotmentor Technologies

4 recruiters
Arpit Goyal
Posted by Arpit Goyal
Bengaluru (Bangalore), NCR (Delhi | Gurgaon | Noida)
3 - 7 yrs
₹20L - ₹30L / yr
Data Science
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
JOB DESCRIPTION We're looking for Head, Machine learning (3+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this is a head team member role and carries significant equity with it. We need someone who can lead the Machine learning function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity. RESPONSIBILITIES • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Also responsible for software profiling, performance tuning and analysis, and other general software engineering tasks. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. REQUIREMENTS • Proficient in Python with sound knowledge in the machine learning libraries namely Scikit-learn, Numpy, Pandas, NLTK etc. • Experience with Deep Learning tools like TensorFlow, Keras, PyTorch etc and integrating using open source learning platforms is required. • Prior experience in building a fully functional Machine Learning Algorithm in the text analysis and multi-class classification with promising results. • Expert data scientist with professionalism in text classification, text analytics, regression and other machine learning algorithms. • Solid grasp of mathematical principles behind machine learning algorithms. • Proficient in using version control tools (Git, Mercurial etc). • Prior experience of using big data technologies like Hadoop, Spark etc. • Semantic Web experience is a big plus. • Should be from tier 1 colleges (IIT’s / NIT’s and BITS).
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IdeaBoard

at IdeaBoard

1 recruiter
Shrenik Devasani
Posted by Shrenik Devasani
Bengaluru (Bangalore)
2 - 7 yrs
₹10L - ₹22L / yr
Data Science
Deep Learning
Artificial Intelligence (AI)
We are looking for a driven and passionate machine learning engineer with a strong empathy for our users (students and teachers). Key responsibilities - Decide what data are needed to answer specific questions, and determine appropriate methods for finding and collecting this data. - Design experiments to validate collected data and analyse, interpret and discover patterns in this data. - Interact cross-functionally with a wide variety of people including students, teachers and engineers. Requirements - Feel a personal stake in the product. - Strong attention to detail and excellent analytical capabilities. - Experience in designing and implementing various machine learning models. - Deep understanding of core Machine Learning concepts.
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Busigence Technologies

at Busigence Technologies

1 video
1 recruiter
Seema Verma
Posted by Seema Verma
Bengaluru (Bangalore)
0 - 10 yrs
₹2L - ₹9L / yr
Data Science
Machine Learning (ML)
Deep Learning
Analytics
Statistical Analysis
+3 more
APPLY LINK: https://bit.ly/2KagS3n Go through the entire job post and search for role relevant to your background. Applicant must mandatorily meet Real You requirements for that role, otherwise application shall be straightforwardly rejected. ````````````````````````````````````````````````````````````````````````````````````````````````````` Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. ********************************************************************************* ROLE 1 Intern - Data Science & ML Team: Sciences Full-Time, Temporary Bangaluru, India Relevant Exp: minus 1 - 10 Years Background: Top Tier institute Compensation: INR 20K - 60K/month Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 75 different techniques (we averaged out this figure with our past interns who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have required callibre to grasp underlying business for a problem to be solved ******************************************************************************* ******************************************************************************* ROLE 2 Intern - Deep Learning & AI Team: Sciences Full-Time, Temporary Bangaluru, India Relevant Exp: minus 1 - 10 Years Background: Top Tier institute Compensation: INR 25K - 75K/month Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, neural networks, and unstructured data analysis. You would be required to work with our sciences team on complex cases from language processing, audio analytics, and image classification. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in tensorflow - collectively you should have implemented atleast 50 different techniques (we averaged out this figure with our past interns who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on CNNs, RNNs, MLP, Auto-Encoders - at essential level R5. Must have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK R7. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec R8. Good to have required callibre to grasp underlying business for a problem to be solved ******************************************************************************* ******************************************************************************* ROLE 3 Intern - Web Development Team: Engineering Full-Time, Temporary Bangaluru, India Relevant Exp: minus 1 - 10 Years Background: Top Tier institute Compensation: INR 15K - 45K/month Real ROLE We are looking for students, graduates, and experienced folks with real passion for web development. You would be required to work with our engagement team on websites/web applications development. Mandatory R1. Must have working knowledge on front end (CSS, HTML, Javascript, JQuery) and Backend (MYSQL). Theoretical understanding and/or academic projects shall not be accepted R2. Must have designed & developed atleast three real-world web portals & applications Preferred R3. Good to have worked on wordpress with/without pre-built themes/ templates ******************************************************************************* Ideal YOU Y1. Studying or graduated in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute Y2. Relevant experience of 0.25 - 3 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with codes & workarounds, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/data-science Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
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Busigence Technologies

at Busigence Technologies

1 video
1 recruiter
Seema Verma
Posted by Seema Verma
Bengaluru (Bangalore)
1 - 5 yrs
₹10L - ₹50L / yr
Deep Learning
Artificial Intelligence (AI)
Machine Learning (ML)
Data Science
Artificial Neural Network (ANN)
+1 more
APPLY LINK: http://bit.ly/2F83vxU Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Researcher - Deep Learning & AI Team: Research Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: INR 10-50 LPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for researchers with real passion for deep learning. You would be required to work with our research team on several deep learning applications. Mandatory R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation R2. Must be able to apply state-of-art deep learning models to our existing research and develop entirely new methods, which are advanced & modern R3. Must have designed multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R4. Must have designed proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R5. Must have designed CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM R6. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R7. Must have worked on classification, clustering, computer vision, speech recognition, text summarization, time-series analysis R8. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities) R9. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain) and atleast basic working knowledge on TensorFlow. R/ SAS/ SPSS etc are not acceptable. Preferred R10. Good to have knowledge and practical experience in application of Supervised Learning algorithms, Bayesian methods, Gaussian processes, Combinatorial optimization, Meta Learning, Transfer Learning, Convex optimization, Sparse methods, Kernel methods, Stochastic process, Statistical learning theory, and Approximate inference R11. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R12. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R13. Good to have worked on Keras on top of TensorFlow R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks R15. Great problem solver with extremely high curiosity on data processing & patterns Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors/Masters/Ph.D level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a research lab or a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with findings & innovations, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/research Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
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