Senior Data Scientist (AI/ML/GenAI)

Position: Senior Data Scientist (AI/ML/GenAI)
Location Options: Mumbai / Bengaluru / Hyderabad / Gurugram
Experience Required: 5 – 12 Years
Working Days: 5 Days/Week (Hybrid – 3 Days WFO)
Notice Period: Maximum 60 Days
Outstation Candidates: Allowed

Mandatory Requirements:

• Minimum 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning systems in production.
• Strong hands-on experience with Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• At least 1 year of experience in fine-tuning Large Language Models (LLMs) using LoRA/QLoRA and building RAG (Retrieval-Augmented Generation) pipelines.
• Practical experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows.

Preferred Requirements:

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems.
• B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related technical field.

Role and Responsibilities

• Lead end-to-end machine learning lifecycle activities including model design, training, evaluation, deployment, and scaling.
• Build and manage production-ready ML pipelines with CI/CD, monitoring, testing, and model drift detection.
• Fine-tune LLMs and implement RAG-based systems for enhanced retrieval and reasoning.
• Design and develop agentic workflows for planning, reasoning, and decision-making.
• Create both real-time and batch inference systems using Docker, Kubernetes, and Spark.
• Utilize advanced architectures such as transformers, diffusion models, RLHF, and multimodal systems.
• Work collaboratively with engineering and product teams to integrate AI models into production applications.
• Mentor junior team members and promote best practices in scalable ML systems, MLOps, and responsible AI.

Ideal Candidate Profile

• Proven experience in production-grade ML/DL system design and deployment.
• Expertise in LLM fine-tuning, RAG pipelines, and vector search tools (e.g., Weaviate, PGVector).
• Strong software engineering background with knowledge of APIs, version control, and testing.
• Familiarity with agent-based development approaches (e.g., ReAct agents, orchestration, function-calling).
• Ability to balance research innovation with production scalability.
• Additional advantage for open-source contributions, GenAI research, or large-scale applied systems.

Job Type: Full-time

Pay: ₹3,500,000.00 - ₹4,600,000.00 per year

Application Question(s):

• Which is your preferred location for onsite (Mumbai / Bengaluru / Hyderabad / Gurugram)?
• Are you comfortable with a 3-days WFO setup
• Current & Expected CTC?
• Email & Contact number
• Current location
• Experience in Years in designing, deploying, and scaling ML/DL systems in production?

Work Location: Remote