Artificial Neural Network (ANN) Jobs in Bangalore (Bengaluru)

Explore top Artificial Neural Network (ANN) Job opportunities in Bangalore (Bengaluru) from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
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Contiinex.com

Agency job
via TIGI HR Solution Pvt. Ltd. by Vaidehi Sarkar
Bengaluru (Bangalore)
5 - 8 yrs
₹5L - ₹15L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Speech recognition
+6 more

Position: Senior Speech Recognition Engineer

  1. Experience : 6+ Years
  2. Salary : As per market standards 
  3. Location: Bangalore
  4. Work Mode: Only WFO
  5. Notice Period: immediate to 30 Days of notice


Desired experience:
• Good understanding of machine learning (ML) tools.
• Should be well versed in classical speech processing methodologies like hidden Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural networks (ANNs), Language modeling, etc.
• Hands-on experience of current deep learning (DL) techniques like Convolutional neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term memory (LSTM), connectionist temporal classification (CTC), etc used for speech processing is essential.
• The candidate should have hands-on experience and any of the end-to-end implementation of ASR tools such as Wav2vec, Deep Speech, etc
• Hands-on PyTorch and Tensorflow experience is desirable.
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DP
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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Remote, Bengaluru (Bangalore)
1 - 5 yrs
₹10L - ₹25L / yr
Natural Language Processing (NLP)
BERT
Machine Learning (ML)
Data Science
Natural Language Toolkit (NLTK)
+7 more

Job Description

  • Build state of the art langugae models to understand vernacular languages.
  • Build and push machine learning models to optimise the results.
  • Consume real-time data and build layers around that to leverage customer understanding.
  • Our state-of-the-art models are ingesting and generating relevant search results for our customers weekly. Work directly with our current models to tune them to the abundant inflow of data as well as architecting new ones to further infuse AI into search workflows.
  • Bee an integral part of Zevi, working on the core tech that makes our product what it is today. It doesn’t stop there though: As we collect more and more insights, get ready to shape the future of search.

Skills and Experience expected:

  • Have at least 2 years of experience working with language models, building, fine-tuning, training them.
  • Have closely read NLP publications and implemented some of them.
  • Have designed and implemented a scalable ML infrastructure that is both secure and modular.
  • Have pushed deep learning models in production.
  • Have been responsible for breaking down and solving complex problems.
  • Have developed engineering principles and designed processes/workflows.
  • Have experience working in Python, sklearn, Pytorch, Tensorflow, and are an expert in at least one of those technologies.

What can you expect from Zevi ?

  • Closely work with leading enterprise engineering teams.
  • Be a part of highly motivated core team.
  • Get access and contribute to all strategies being built by Zevi.
  • Full ownership of your product line.
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DP
Posted by Jayesh Hannurkar
Bengaluru (Bangalore)
1 - 5 yrs
₹12L - ₹60L / yr
Computer Vision
Machine Learning (ML)
Artificial Intelligence (AI)
Artificial Neural Network (ANN)

About Insane.ai

Mainstream fitness formats are a primitive solution to the modern problems of a sedentary lifestyle. At Insane.ai, we are merging gaming and fitness to change the way people workout. We use computer vision, AR and artificial intelligence on the edge to create delightful fitness games. We are a fast-paced, VC-funded startup based in Bangalore, founded by IIT Bombay graduates with deep experience in building internet products, AR/VR, and autonomous driving.

 

Position Summary

Are you passionate about building computers that can see? We are using AR technologies to build the future of interactive fitness. Our computer vision and ML pipeline converts your body to a game controller. As a computer vision engineer, you will be responsible for implementing and fine-tuning algorithms and deploying them to edge devices, to enable novel human-computer interaction. There will be a fair bit of research involved - we are building bleeding-edge tech!

If the combination of cutting edge user experiences, building delightful products for real users, and cutting-edge research appeals to you, then we’d love to talk.

 

What’s required of you

  • Design, develop and maintain production computer vision systems that are used to enhance Insane.ai’s capabilities for the delight of our users.

  • Collaborate cross-functionally with products, operations and other engineering teams to ship advanced computer vision solutions to enable new AR experiences.

 

What we are looking for

  • 1-3 years of hands-on experience in computer vision and machine learning projects to solve real-world problems involving vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation etc.

  • Deep insights into data characteristics and the ability to map those to appropriate model architectures

  • Working knowledge of SOTA techniques in CV, ML and Deep Learning in particular

  • Strong Python programming skills and understanding of deep learning frameworks and workflows

 

What we are offering

  • Competitive salary and equity packages

  • Job is based in Bangalore. We work flexibly, combining working from home and in the office. Only candidates who can work in our Bangalore office a few days a week will be considered.

  • Fast-paced startup environment with high autonomy and a culture of shipping things fast

  • Your work will be at the bleeding edge of technology and lifestyle

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Anicaa Data

Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 6 yrs
₹10L - ₹25L / yr
TensorFlow
PyTorch
Machine Learning (ML)
Data Science
data scientist
+11 more

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

 

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

 

Required Skills:

  • At least 3+ years of experience in a Data Scientist role
  • Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
  • Experience with large data sets, big data, and analytics
  • Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
  • Training Machine Learning (ML) algorithms in areas of forecasting and prediction
  • Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
  • Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
  • Experience in translating business needs into problem statements, prototypes, and minimum viable products
  • Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
  • Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

  • Worked on forecasting projects – both classical and ML models
  • Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
  • Strong background in forecasting accuracy drivers
  • Experience in Advanced Analytics techniques such as regression, classification, and clustering
  • Ability to explain complex topics in simple terms, ability to explain use cases and tell stories
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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.
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We’re creating the infrastructure to enable crypto's safe

Agency job
via wrackle by Naveen Taalanki
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

It's a deep-tech and research company.

Agency job
via wrackle by Naveen Taalanki
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
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DP
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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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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DP
Posted by Santosh Rout
Bengaluru (Bangalore), Coimbatore, Bhubaneswar
3 - 7 yrs
₹18L - ₹45L / yr
Artificial Neural Network (ANN)
Deep Learning
Machine Learning (ML)
We are an Technology startup based in Singapore, with development office in Coimbatore and Bangalore. We are setting up AI lab in Bangalore and looking for Trainers in Deep Learning and Artificial Intelligence on Part-time and on-demand basis. Please drop me a line to discuss the opportunities further.
Read more
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