Senior Data Scientist
1 week ago
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
CTC Range: ₹35 LPA – ₹46 LPA (Confidential – Do not share with candidates)
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, ₹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
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