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.)
About TIGI HR Solution Pvt. Ltd.
Similar jobs
Data Scientist
Requirements
● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB
Senior Machine Learning Engineer | Permanent WFH
- Minimum 3 years of technical experience in AI/ML (you can include internships & freelance work towards this)
- Excellent proficiency in Python (Numpy, Pandas)
- Experience working with SQL/NoSQL databases
- Experience working with AWS, Docker
- Should have worked with a large set of data
- Should be familiar with MI model building and deployment on AWS.
- Good communication skills and very good problem-solving skills
Perks & Benefits @Delivery Solutions:
- Permanent Remote work - (Work from anywhere)
- Broadband reimbursement
- Flexi work hours - (Login/Logout flexibility)
- 21 Paid leaves in a year (Jan to Dec) and 7 COVID leaves
- Two appraisal cycles in a year
- Encashment of unused leaves on Gross
- RNR - Amazon Gift Voucher
- Employee Referral Bonus
- Technical & Soft skills training
- Sodexo meal card
- Surprise on birthday/ service anniversary/new baby/wedding gifts
- Annual trip
● 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 hypothesis through theoretical and empirical approaches.
● Productize 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 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 company's IP portfolio
Requirements
● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.
● BS/MS/PhD 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.
● Expertise in Python programming language and 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.
Job Description:
We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.
Location: Pune (Initially remote due to COVID 19)
*****Looking for someone who can start immediately / Within a month. Hands-on experience in Python programming (Minimum 5 Years) is a must.
About the Organisation :
- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.
- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.
- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.
Qualifications:
• 8+ years relevant working experience
• Master / Bachelors in computer science or engineering
• Working knowledge of Python and SQL
• Experience in time series data, data manipulation, analytics, and visualization
• Experience working with large-scale data
• Proficiency of various ML algorithms for supervised and unsupervised learning
• Experience working in Agile/Lean model
• Experience with Java and Golang is a plus
• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus
• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack
• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark
• Exposure to IAAS platforms such as AWS, GCP, Azure
Typical persona: Data Science Manager/Architect
Experience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)
Type: Hands-on candidate only
Must:
a. Hands-on Python: pandas,scikit-learn
b. Working knowledge of Kafka
c. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
d. Good on analytical & debugging skills
e. Strong communication skills
Desired (in order of priorities)
a.Go (Strong advantage)
b. Airflow (Strong advantage)
c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
d. Data structures, Algorithms
e. Experience with multi-threaded and thread sync concepts
f. AWS Sagemaker
g. Keras
Software Trainee /Fresher || CMMI-3 || Indore/Pune/Noida
at KSOLVES
2. Sound knowledge of Coding & Programming.
3. Have done any technical training.
4. Excellent Communication skills.
5. Positive attitude.
6. Have the zeal to learn new technologies.
A Solutions Architect is responsible for validating the logical models, ensuring standards, driving consolidation of redundant data, and enforcing the strategic vision through data models. The Architect role has an in-depth understanding of both our business capabilities and how it aligns to our enterprise data models. Partners with Enterprise Architecture to consult on and develop domain models. Consults with project teams and functional units on the design of important projects or services. consults with business leadership on the design of systems and projects. May consult with leadership on emerging technologies.
To be successful as a solution architect, you should be able to integrate any updated specifications and requirements into the systems architecture. An outstanding solution architect should be able to explain complex problems to management in layman’s terms.
Responsibilities:
Building and integrating information systems to meet the company’s needs.
Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it.
E2E accountability of solution design across multiple products, integrations and technologies that deliver successful business outcomes which meet reliability, availability, serviceability needs.
Experience working with the latest emerging tehnolgies and Programming Languages like - Java, .Net, MERN Stack, MEAN Stack, Angular, React, VueJS, NodeJS, Block Chain, GoLang, ML, Data Science related areas, etc
Provide detailed specifications for proposed solutions
Resolving technical problems as they arise.
Providing supervision and guidance to development teams.
Continually researching current and emerging technologies and proposing changes where needed.
Informing various stakeholders about any problems with the current technical solutions being implemented.
Assessing the business impact that certain technical choices have.
Providing updates to stakeholders on product development processes, costs, and budgets.
Work closely with Information Technology professionals within the company to ensure hardware is available for projects and working properly
Propose and establish framework for necessary contributions from various departments
Account for possible project challenges on constraints including, risks, time, resources, and scope
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
Director | Applied AI
at Searce Inc
Director - Applied AI
Who we are?
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.
What do we believe?
- Best practices are overrated
- Implementing best practices can only make one an average .
- Honesty and Transparency
- We believe in naked truth. We do what we tell and tell what we do.
- Client Partnership
- Client - Vendor relationship: No. We partner with clients instead.
- And our sales team comprises 100% of our clients.
How do we work ?
It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.
- Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
- Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
- Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
- Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
- Innovative: Innovate or Die. We love to challenge the status quo.
- Experimental: We encourage curiosity & making mistakes.
- Responsible: Driven. Self motivated. Self governing teams. We own it.
So, what are we hunting for ?
- To devise strategy through the delivery of sustainable intelligent solutions, strategic customer engagements, and research and development
- To enable and lead our data and analytics team and develop machine learning and AI paths across strategic programs, solution implementation, and customer relationships
- To manage existing customers and realize new opportunities and capabilities of growth
- To collaborate with different stakeholders for delivering automated, high availability and secure solutions
- To develop talent and skills to create a high performance team that delivers superior products
- To communicate effectively across the organization to ensure that the team is completely aligned to business objectives
- To build strong interpersonal relationships with peers and other key stakeholders that will contribute to your team's success
Your bucket of Undertakings :
- Develop an AI roadmap aligned to client needs and vision
- Develop a Go-To-Market strategy of AI solutions for customers
- Build a diverse cross-functional team to identify and prioritize key areas of the business across AI, NLP and other cognitive solutions that will drive significant business benefit
- Lead AI R&D initiatives to include prototypes and minimum viable products
- Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc.
- Build reusable and scalable solutions for use across the customer base
- Create AI white papers and enable strategic partnerships with industry leaders
- Align, mentor, and manage, team(s) around strategic initiatives
- Prototype and demonstrate AI related products and solutions for customers
- Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems)
- Lead AI tech challenges and proposals with team members
- Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
- Identify new business opportunities and prioritize pursuits for AI
Education & Experience :
- Advanced or basic degree (PhD with few years experience, or MS / BS (with many years experience)) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
- 10+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
- Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
- Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
- Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
- Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
- Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team
Python Developer
at Reval Analytical Services Pvt Ltd
Position Name: Software Developer
Required Experience: 3+ Years
Number of positions: 4
Qualifications: Master’s or Bachelor s degree in Engineering, Computer Science, or equivalent (BE/BTech or MS in Computer Science).
Key Skills: Python, Django, Ngnix, Linux, Sanic, Pandas, Numpy, Snowflake, SciPy, Data Visualization, RedShift, BigData, Charting
Compensation - As per industry standards.
Joining - Immediate joining is preferrable.
Required Skills:
- Strong Experience in Python and web frameworks like Django, Tornado and/or Flask
- Experience in data analytics using standard python libraries using Pandas, NumPy, MatPlotLib
- Conversant in implementing charts using charting libraries like Highcharts, d3.js, c3.js, dc.js and data Visualization tools like Plotly, GGPlot
- Handling and using large databases and Datawarehouse technologies like MongoDB, MySQL, BigData, Snowflake, Redshift.
- Experience in building APIs, Multi-threading for tasks on Linux platform
- Exposure to finance and capital markets will be added advantage.
- Strong understanding of software design principles, algorithms, data structures, design patterns, and multithreading concepts.
- Worked on building highly-available distributed systems on cloud infrastructure or have had exposure to architectural pattern of a large, high-scale web application.
- Strong understanding of software design principles, algorithms, data structures, design patterns, and multithreading concepts.
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
Company Description:
Reval Analytical Services is a fully-owned subsidiary of Virtua Research Inc. US. It is a financial services technology company focused on consensus analytics, peer analytics and Web-enabled information delivery. The Company’s unique combination of investment research experience, modeling expertise, and software development capabilities enables it to provide industry-leading financial research tools and services for investors, analysts, and corporate management.
Website: http://www.virtuaresearch.com" target="_blank">www.virtuaresearch.com
Artificial Intelligence Engineer
at Nactus India Services Pvt. Ltd
Nactus is at forefront of education reinvention, helping educators and learner’s community at large through innovative solutions in digital era. We are looking for an experienced AI specialist to join our revolution using the deep learning, artificial intelligence. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference.
Role and Responsibilities
- Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy.
- Understand company and client challenges and how integrating AI capabilities can help create educational solutions.
- Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.
Skills Required
- Knowledge of algorithms, object-oriented and functional design principles
- Demonstrated artificial intelligence, machine learning, mathematical and statistical modelling knowledge and skills.
- Well-developed programming skills – specifically in SAS or SQL and other packages with statistical and machine learning application, e.g. R, Python
- Experience with machine learning fundamentals, parallel computing and distributed systems fundamentals, or data structure fundamentals
- Experience with C, C++, or Python programming
- Experience with debugging and building AI applications.
- Robustness and productivity analyse conclusions.
- Develop a human-machine speech interface.
- Verify, evaluate, and demonstrate implemented work.
- Proven experience with ML, deep learning, Tensorflow, Python