4402 AI Professionals jobs in Bengaluru

About
At , we are building the future of video intelligence. Our flagship platform, FizzStream, analyzes over a billion seconds of video to power real-world applications in market research, retail analytics, and sports analytics. We've achieved an industry-leading 90-92% accuracy in human activity analysis, and we're just getting started. We are a team of passionate innovators who believe in bridging cutting-edge research with production-grade solutions to create tangible impact.

The Mission
We are seeking a hands-on Senior Deep Learning Engineer to pioneer the next generation of our core Video AI capabilities. This isn't just a research role; it's an opportunity to own the full lifecycle of new features, from concept to deployment, and directly influence a product that is already a leader in its field.

What You'll Own

• Research to Production: Lead the charge in transforming state-of-the-art research (e.g., Video Language Models, multi-camera tracking) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization: Design, build, and meticulously optimize Deep Learning models for sophisticated human activity analysis. You'll work with the entire lifecycle, ensuring performance and efficiency.
• End-to-End System Impact: Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
• Future-Proof Our AI: Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What We're Looking For

• Experience: 2-3 years of industry experience, with at least 2 years directly focused on Deep Learning for Computer Vision or Video AI. Proven success in taking models from research to production is a must.
• Technical Proficiency:
• Exceptional proficiency in Python and PyTorch.
• Deep practical expertise with ONNX for optimization and deployment.
• Hands-on experience with robust data pipelines and model deployment for Computer Vision.
• Proficiency with Linux, CUDA, and OpenCV.
• Deep Learning Expertise:
• A strong, practical understanding of fundamental Deep Learning concepts.
• Proven experience successfully implementing activity detection or object detection algorithms.
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

Your DNA

• A Builder's Mindset: You are driven by seeing your work in a real product and are excited by the challenges of translating complex ideas into elegant, production-ready solutions.
• Relentless Curiosity: You have a passion for exploring new algorithms, continuously learning, and experimenting with new approaches.
• Ownership & Impact: You are a self-starter who takes complete ownership of a project from start to finish, driving it to success and ensuring its impact is felt by the product and our users.

Join The Journey
If you are ready to make a significant impact on the future of AI and contribute to a platform that analyzes billions of seconds of video, we want to hear from you. Apply today to help us build intelligence that matters.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2+ years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable.

Primary Responsibilities
Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL

Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models

Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data

Build, tune, and evaluate machine learning models for predictive and prescriptive analytics

Conduct drift analysis to monitor model performance and ensure accuracy over time

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment

Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments

Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions

Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field

10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar role

Hands-on experience in delivering production-grade AI/ML projects

Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis

Solid understanding of mathematical and statistical concepts

Solid programming skills in Python, with experience in pandas, numpy, and SQL

Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch

Proven excellent problem-solving and analytical thinking skills

Proven solid communication and collaboration skills to work effectively in a team environment

Preferred Qualifications
Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)

Familiarity with the US Healthcare domain

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2+ years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable.

Primary Responsibilities:

Develop and implement AI/ML solutions using Python, pandas, numpy, and SQLUtilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy modelsPerform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in dataBuild, tune, and evaluate machine learning models for predictive and prescriptive analyticsConduct drift analysis to monitor model performance and ensure accuracy over timeCollaborate with cross-functional teams to understand business requirements and translate them into technical solutionsWork on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deploymentEnsure the scalability, reliability, and efficiency of AI/ML solutions in production environmentsStay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutionsDocument and communicate findings, methodologies, and insights to technical and non-technical stakeholdersComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar roleHands-on experience in delivering production-grade AI/ML projectsExperience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysisSolid understanding of mathematical and statistical conceptsSolid programming skills in Python, with experience in pandas, numpy, and SQLProficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorchProven excellent problem-solving and analytical thinking skillsProven solid communication and collaboration skills to work effectively in a team environment

Preferred Qualifications:

Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)Familiarity with the US Healthcare domain

• Conducting advanced research in deep learning architectures, training methodologies, and optimization techniques.
• Developing and implementing state-of-the-art AI models for complex real-world problems.
• Leading and mentoring a team of AI researchers and engineers.
• Collaborating with product and engineering teams to translate research breakthroughs into practical applications.
• Staying abreast of the latest advancements in AI and emerging technologies.
• Contributing to the intellectual property portfolio through patents and publications.
• Presenting research findings to internal stakeholders and external audiences.
• Ensuring the ethical and responsible development and deployment of AI systems.
• Designing and executing rigorous experiments to validate research hypotheses.
• Fostering a culture of innovation and scientific excellence within the research group.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 10+ years of relevant research experience in deep learning.
• Proven track record of leading successful research projects and publishing in top venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
• Expertise in one or more areas such as deep reinforcement learning, generative models, transformer networks, or graph neural networks.
• Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed training.
• Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.
• Demonstrated ability to mentor and guide junior researchers.
• Experience in building and deploying AI models in production environments is a strong plus.

• Conduct original research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or generative models.
• Develop and implement novel AI algorithms and models, optimizing for performance, scalability, and efficiency.
• Design and execute rigorous experiments to validate research hypotheses and evaluate model performance.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Mentor junior researchers and engineers, providing technical guidance and fostering innovation.
• Stay at the forefront of AI/ML advancements by reading research papers, attending conferences, and engaging with the academic community.
• Identify emerging trends and opportunities for AI innovation within the company's strategic goals.
• Lead research projects from conception to completion, managing timelines and resources.
• Present research results and technical strategies to senior management and external stakeholders.
• Contribute to patent applications and intellectual property development.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• 10+ years of post-doctoral research experience in AI/ML, with a significant focus on deep learning.
• Demonstrated track record of impactful research, evidenced by publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
• Expertise in one or more subfields of AI, such as deep neural networks, NLP, computer vision, reinforcement learning, or generative models.
• Proficiency in programming languages like Python and ML frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of mathematical foundations, including linear algebra, calculus, and probability.
• Experience with large-scale data processing and distributed computing environments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to lead research initiatives and mentor technical talent.
• Exceptional communication and presentation skills, with the ability to convey complex technical concepts clearly.
• Experience in collaborating with cross-functional teams to drive product innovation.

• Lead the design and development of novel deep learning algorithms and models.
• Conduct cutting-edge research in areas such as NLP, computer vision, and reinforcement learning.
• Publish research findings in top-tier AI conferences and journals.
• Mentor and guide junior AI researchers and engineers.
• Collaborate with engineering teams to deploy research models into production.
• Stay abreast of the latest advancements in AI and machine learning.
• Design and execute rigorous experiments to validate research hypotheses.
• Analyze large-scale datasets and interpret complex results.
• Present research outcomes to technical and executive leadership.
• Identify and explore new research avenues and opportunities.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Deep expertise in deep learning architectures (CNNs, RNNs, Transformers, GANs).
• Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale model training and distributed computing.
• Strong programming skills in Python.
• Excellent analytical, mathematical, and problem-solving abilities.
• Exceptional communication and collaboration skills, suitable for a remote setting.
• Proven leadership and project management capabilities.

Greetings from TCS!

TCS is Hiring for ML Engineer (Deep Learning/Generative AI)

Interview Mode: Virtual

Required Experience: 10-16 years

Work location: PAN INDIA

Required Skills:

• Degree in computer science, artificial intelligence, or IT.
• Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
• Design, implement, and optimize generative AI architectures and models.
• Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
• Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
• Fine-tune and optimize AI models for specific applications, focusing on improving accuracy, efficiency, and scalability.
• Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
• Implement MLOps best practices for continuous integration and deployment (CI/CD) of AI models, including monitoring, logging, and version control.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience in developing and deploying AI/Gen AI based systems in production.
• Provide technical guidance and mentorship to junior engineers and team members, fostering a culture of knowledge sharing and continuous learning.