15+ Deep Learning Jobs in Mumbai | Deep Learning Job openings in Mumbai
Apply to 15+ Deep Learning Jobs in Mumbai on CutShort.io. Explore the latest Deep Learning Job opportunities across top companies like Google, Amazon & Adobe.
Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.
We want new ambitious research members to join our Machine Learning Research group. We are looking for people with a proven track record in computer vision research. In this role, we create new models, algorithms and approaches to solve challenging machine learning problems. Some of our problems areas include Image Restoration, Image Enhancement, Generative Models and 3D computer vision. You will work on various state-of-art new techniques to improve and optimize neural networks and also use computer vision approaches to solve various problems. You will be required to have in-depth knowledge of image processing and convolutional neural networks. You will tackle our challenging problems also have the freedom to try out your ideas and pursue research topics of your interest.
What you will do:
- Engage in advanced research to push the boundaries of computer vision technology. Leverage core image processing and computer vision fundamentals along with focus on transformer based models, generative adversarial networks (GANs), diffusion models, and other advanced deep learning methods.
- Develop and enhance models for practical applications, including image processing, object detection, image segmentation, and scene understanding, leveraging recent innovations in the field.
- Apply contemporary methodologies to address complex, real-world challenges and create innovative, deployable solutions that enhance our products and services.
- Collaborate with cross-functional teams to integrate new computer vision technologies and solutions into our product suite.
- Remain current with the latest developments in computer vision and deep learning, including emerging techniques and best practices.
- Document and communicate research findings through publications in top-tier conferences and journals, and contribute to the academic community.
Skills needed:
- A BS, MS, PhD, or equivalent experience in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
- Extensive research experience in computer vision, with a focus on deep learning techniques such as transformers, GANs, diffusion, and other emerging models.
- Proficiency in Python, with experience in deep learning frameworks like TensorFlow and PyTorch
- Deep understanding of mathematical principles relevant to computer vision, including linear algebra, optimization, and statistics.
- Proven ability to bridge the gap between theoretical research and practical application, effectively translating innovative ideas into deployable solutions.
- Strong problem-solving skills and an innovative mindset to address complex challenges and apply contemporary research effectively.
What do we offer?
Growth
Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.
Flex University: We help you upskill by organising in-house courses on important subjects
Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.
Culture
Community and Team building activities
Host weekly, quarterly and annual events/parties.
Wellness
Mediclaim policy for you + parents + spouse + kids
Experienced therapist for better mental health, improve productivity & work-life balance
We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!
Client based at Bangalore location.
Data Scientist with LLM and Healthcare Expertise
Keywords: Data Scientist, LLM, Radiology, Healthcare, Machine Learning, Deep Learning, AI, Python, TensorFlow, PyTorch, Scikit-learn, Data Analysis, Medical Imaging, Clinical Data, HIPAA, FDA.
Responsibilities:
· Develop and deploy advanced machine learning models, particularly focusing on Large Language Models (LLMs) and their application in the healthcare domain.
· Leverage your expertise in radiology, visual images, and text data to extract meaningful insights and drive data-driven decision-making.
· Collaborate with cross-functional teams to identify and address complex healthcare challenges.
· Conduct research and explore new techniques to enhance the performance and efficiency of our AI models.
· Stay up-to-date with the latest advancements in machine learning and healthcare technology.
Qualifications:
· Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
· 6+ years of hands-on experience in data science and machine learning.
· Strong proficiency in Python and popular data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
· Deep understanding of LLM architectures, training methodologies, and applications.
· Expertise in working with radiology images, visual data, and text data.
· Experience in the healthcare domain, particularly in areas such as medical imaging, clinical data analysis, or patient outcomes.
· Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications:
· PhD in Computer Science, Data Science, or a related field.
· Experience with cloud platforms (e.g., AWS, GCP, Azure).
· Knowledge of healthcare standards and regulations (e.g., HIPAA, FDA).
· Publications in relevant academic journals or conferences.
Responsibilities
- Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
- Optimize and debug existing codes to make them scalable and improve performance
- Design, development, and delivery of tested code and machine learning models into production environments
- Work effectively in teams, managing and leading teams
- Provide effective, constructive feedback to the delivery leader
- Manage client expectations and work with an agile mindset with machine learning and AI technology
- Design and prototype data-driven solutions
Eligibility
- Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
- Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
- In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
- Expertise in writing scalable APIs for machine learning models
- Experience with maintaining code logs, task schedulers, and security
- Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
- Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch
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
The Role:
As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.
Requirements:
- Experience with training and fine-tuning machine learning models on large text datasets.
- Strong computer science fundamentals and at least 3 years of software development experience.
- Track record of thinking big and finding simple solutions while dealing with ambiguity.
- Proven experience as a Natural Language Processing Engineer or in similar roles.
- Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
- Familiarity with text representation techniques, algorithms, and statistics.
- Knowledge of programming languages such as R, Python, and Java.
- Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
- Ability to design software architectures and solve complex problems.
- Strong analytical and problem-solving skills.
- Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
- Publications, patents, or conference talks in relevant fields are a bonus.
Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.
Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day
Essential experience and requirements:
1. Advanced knowledge in the domains of computer vision, deep learning
2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design
3. Experienced with proper project workflow
4. Good at collating multiple datasets (potentially from different sources)
5. Good understanding of setting up production level data pipelines
6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)
7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation
8. Fundamental understanding of model and system explainability
9. Proactive at constantly unlearning and relearning
10. Documentation ninja - can understand others documentation as well as create good documentation
Responsibilities :
1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain
2. Maintain deployed systems and upgrade them through online learning
3. Develop and deploy advanced online data pipelines
Team:- We are a team of 9 data scientists working on Video Analytics Projects, Data Analytics projects for internal AI requirements of Reliance Industries as well for the external business. At a time, we make progress on multiple projects(atleast 4) in Video Analytics or Data Analytics.
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
About Quidich
http://www.quidich.com">Quidich Innovation Labs pioneers products and customized technology solutions for the Sports Broadcast & Film industry. With a mission to bring machines and machine learning to sports, we use camera technology to develop services using remote controlled systems like drones and buggies that add value to any broadcast or production. Quidich provides services to some of the biggest sports & broadcast clients in India and across the globe. A few recent projects include Indian Premier League, ICC World Cup for Men and Women, Kaun Banega Crorepati, Bigg Boss, Gully Boy & Sanju.
What’s Unique About Quidich?
- Your work will be consumed by millions of people within months of your joining and will impact consumption patterns of how live sport is viewed across the globe.
- You work with passionate, talented, and diverse people who inspire and support you to achieve your goals.
- You work in a culture of trust, care, and compassion.
- You have the autonomy to shape your role, and drive your own learning and growth.
Opportunity
- You will be a part of world class sporting events
- Your contribution to the software will help shape the final output seen on television
- You will have an opportunity to work in live broadcast scenarios
- You will work in a close knit team that is driven by innovation
Role
We are looking for a tech enthusiast who can work with us to help further the development of our Augmented Reality product, https://www.quidich.com/services/spatio">Spatio, to keep us ahead of the technology curve. We are one of the few companies in the world currently offering this product for live broadcast. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of software development and computer vision systems. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for candidates that are passionate about the product and embody our values.
Responsibilities
- Working with the research team to develop, evaluate and optimize various state of the art algorithms.
- Deploying high performance, readable, and reliable code on edge devices or any other target environments.
- Continuously exploring new frameworks and identifying ways to incorporate those in the product.
- Collaborating with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning etc.
Minimum Qualifications, Skills and Competencies
- B.E/B.Tech or Masters in Computer Science, Mathematics or relevant experience
- 3+ years of experience in computer vision algorithms like - sfm/SLAM, optical flow, visual-inertial odometry
- Experience in sensor fusion (camera, imu, lidars) and in probabilistic filters - EKF, UKF
- Proficiency in programming - C++ and algorithms
- Strong mathematical understanding - linear algebra, 3d-geometry, probability.
Preferred Qualifications, Skills and Competencies
- Proven experience in optical flow, multi-camera geometry, 3D reconstruction
- Strong background in Machine Learning and Deep Learning frameworks.
Reporting To: Product Lead
Joining Date: Immediate (Mumbai)
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)
Company Profile and Job Description
About us:
AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.
For more details visit: www.athenasowl.tv
Role: |
Senior Machine Learning Engineer |
Experience Level: |
4 -6 Years of experience |
Work location: |
Mumbai (Malad W) |
Responsibilities:
- Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports
- Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership
- Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale
The ideal candidate should have:
- Strong programming skills in any one or more programming languages like Python and C/C++
- Sound fundamentals of data structures, algorithms and object-oriented programming
- Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc.
- Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.)
- Ability to quickly learn and communicate the latest findings in AI research
- Creative thinking for leveraging machine learning to build end-to-end intelligent software systems
- A pleasantly forceful personality and charismatic communication style
- Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”
2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.
3. Hands-on experience with statistical, machine-learning tools and techniques
4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.
5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
8. Expert level coding experience in Python.
9. Technologies: Backend - Python (Programming Language)
10. Should have the ability to think long term solutions, modularity, and reusability of the components.
11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.
12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.
------------------------
Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are -
* Limited resource Speaker Diarization on mono-channel recordings in noisy environment.
* Speech Enhancement to improve accuracy of downstream speech analytics tasks.
* Automated Speech Recognition for accent heavy audio with a noisy background.
* Speech analytic tasks, which include: emotions, empathy, keyword extraction.
* Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data.
A typical day at work
-----------------------------
You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production!
What should you know?
---------------------------------
* Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms.
* Experience with literature review either in academia or industry.
* Proficiency in at least one programming language such as Python, C, C++, Java, etc.
* Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano.
* Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
Why DeepAffects?
--------------------------
* You’ll learn insanely fast here.
* Esops and competitive compensation.
* Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published.
* Independent work, flexible timings and sense of ownership of your work.
* Mentorship from distinguished researchers and professors.