Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc.
Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow).
Strong understanding of data architecture, feature engineering, and model deployment pipelines.
Experience with vector databases, retrieval-augmented generation (RAG), and semantic search.
Familiarity with LLMOps and GenAI safety frameworks.
Publications or patents in AI / ML domains.
Required Skills :
Excellent communication and storytelling skills.
Strong problem-solving and analytical thinking.
Ability to inspire and lead high-performing teams.
Adaptability in a fast-paced, evolving tech landscape.
(ref : hirist.tech)
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Data Science Manager • Gurugram
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