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Sr. Data Scientist (AI/ML, Deep learning)
AI Industry
Sr. Data Scientist (AI/ML, Deep learning)
Peak Hire Solutions's logo

Sr. Data Scientist (AI/ML, Deep learning)

at AI Industry

Agency job
5 - 12 yrs
₹20L - ₹46L / yr
Mumbai, Bengaluru (Bangalore), Hyderabad, Gurugram
Skills
skill iconData Science
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Generative AI
skill iconDeep Learning
skill iconPython
PyTorch
TensorFlow
JAX
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)
MLOps
skill iconDocker
skill iconKubernetes
Spark
CI/CD
RLHF (Reinforcement Learning from Human Feedback)
Large Language Models (LLM) tuning
Vector database

Review Criteria

  • Strong Senior Data Scientist (AI/ML/GenAI) Profile
  • 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
  • Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
  • Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

 

Preferred

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

 

Job Specific Criteria

  • CV Attachment is mandatory
  • Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
  • Are you okay with 3 Days WFO?
  • Virtual Interview requires video to be on, are you okay with it?


Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

 

Responsibilities:

  • Own the full ML lifecycle: model design, training, evaluation, deployment
  • Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
  • Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
  • Build agentic workflows for reasoning, planning, and decision-making
  • Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
  • Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
  • Collaborate with product and engineering teams to integrate AI models into business applications
  • Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices


Ideal Candidate

  • 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
  • Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
  • Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
  • Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
  • Strong software engineering background with experience in testing, version control, and APIs
  • Proven ability to balance innovation with scalable deployment
  • B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
  • Bonus: Open-source contributions, GenAI research, or applied systems at scale


Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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