
Data Scientist for Generative Models
2 days ago
We are seeking a Senior Machine Learning Engineer to develop and deploy training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.
- Key Responsibilities:
- Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluate and analyze the performance of ML/generative AI models.
- Stay up to date on the latest advancements in generative AI research.
- Facilitate the development and deployment of proof-of-concept Generative AI systems.
Qualifications:
- Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 5+ years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker, and a good understanding of Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning.
-
Data Scientist
4 weeks ago
Mumbai, Maharashtra, India Hansa Cequity Full timeData ScientistWe are seeking a Data Scientist with strong expertise in classical machine learning and experience working with automotive datasets. The role focuses on building predictive models, marketing mix analysis, and end-to-end data pipeline development. Experience in marketing analytics is essential. Exposure to Generative AI is a plus, not a...
-
Senior Data Scientist/Data Scientist
22 hours ago
Mumbai, Maharashtra, India YO HR Consultancy Full timeRole : Senior Data Scientist / Data ScientistExperience Required : 4 6 YearsLocation : Mumbai, Maharashtra, IndiaMode - HybridAbout the Role : We are seeking a highly skilled Senior Data Scientist / Data Scientist to join our growing analytics team. The ideal candidate will leverage SQL, Python, Machine Learning, and Pandas to deliver data-driven insights,...
-
Data Scientist
7 days ago
Mumbai, Maharashtra, India Tata Consultancy Services Full timeRole : Data Scientist/ML EngineerMust-HaveProgramming- Python, Machine Learning, Data wrangling, Strong Statistical & Mathematical skillsStrong Hands-on experience in GenAI (LLMs, Prompting & RAG) based solutionsStrong knowledge in Data Engineering – Extraction, Pre-processing and managing various types of data (structured, semi & un-structured...
-
Data Scientist
8 hours ago
Mumbai, Maharashtra, India Crescendo Global Full timeData Scientist - Education Industry - 7 Years - Mumbai WFO We are looking for an experienced Data Scientist with strong expertise in analytics modeling and data pipeline development who can translate business requirements into actionable insights and drive data-driven decision-making Location- Mumbai WFO Your Future Employer A leading education...
-
Data Scientist
3 weeks ago
Mumbai, Maharashtra, India Valiance Solutions Full timeAbout the Role:We are looking for a Data Scientist with 2–3 years of experience to join our growing Industrial AI team. This role is ideal for someone who has worked on data science projects in the manufacturing, oil & gas, or utilities sector—particularly around asset reliability, predictive maintenance, and failure prediction. Exposure to Gen AI...
-
Data Scientist
2 weeks ago
Mumbai, Maharashtra, India Valiance Solutions Full timeAbout the Role: We are looking for a Data Scientist with 2–3 years of experience to join our growing Industrial AI team. This role is ideal for someone who has worked on data science projects in the manufacturing, oil & gas, or utilities sector—particularly around asset reliability, predictive maintenance, and failure prediction. Exposure to Gen AI...
-
Advanced Generative AI Model Developer
15 hours ago
Mumbai, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 1,00,00,000 - ₹ 2,00,00,000AI DeveloperAbout the RoleWe are seeking a skilled Ai developer to design, develop, and deploy advanced machine learning models. The ideal candidate will have a strong background in generative AI, with experience in developing and deploying models using frameworks such as TensorFlow, PyTorch, or similar.Main ResponsibilitiesDesign and Develop Generative AI...
-
Data Scientist
22 hours ago
Mumbai, Maharashtra, India Connect2Talent Full timeJob Title : Data ScientistLocation : Bangalore / Hyderabad / MumbaiExperience : 4 - 8 YearsEmployment Type : Full-TimeNotice Period : Up to 30 DaysCompensation : 15 - 40 LPAJob DescriptionWe are seeking a highly skilled Data Scientist to join our analytics and data engineering team. The ideal candidate will have strong expertise in SQL, Python/R, Data...
-
Senior Data Scientist
11 hours ago
Mumbai, Maharashtra, India Cloudesign Technology Full timeJob Title: Sr Data Scientist. Location: Mumbai. Required Experience: 3-7 Years. Division: ECU Mumbai. As a Senior Data Scientist, a person will be responsible for developing and deploying data science models across functional areas. Based on business performance and discussions with business partners, identify ML use-cases, prioritise, plan and develop...
-
Mumbai, Maharashtra, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000Job Title: Senior Data ScientistJob Description:We are seeking a seasoned Data Scientist to spearhead the development of predictive analytics and customer insights solutions using Generative AI.The ideal candidate will have hands-on experience with LLMs, prompt engineering, and model deployment on cloud infrastructure.