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Senior Data Scientist - AI/ML
Senior Data Scientist - AI/MLWorksconsultancy • Delhi, IN
Senior Data Scientist - AI / ML

Senior Data Scientist - AI / ML

Worksconsultancy • Delhi, IN
30+ days ago
Job description

Description :

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 :

  • 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
  • Must have a minimum of 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.
  • Must have 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.
  • (ref : hirist.tech)

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