Data Scientist

Key Responsibilities

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Build and deploy enterprise-grade Generative AI and ML solutions

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Design scalable AI systems enabling natural language–driven automation and insights

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Develop and implement GenAI workflows for enterprise use cases

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Build LLM-powered applications for:

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Analytics & reporting

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Document intelligence

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Recommendation systems

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Design and implement advanced RAG (Retrieval-Augmented Generation) pipelines including:

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Embeddings

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Vector search

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Ranking and grounding mechanisms

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Build and expose AI capabilities via REST APIs and microservices

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Deploy, monitor, and manage solutions using Docker and cloud platforms

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Implement output validation, monitoring, and evaluation frameworks for production reliability

Required Skills

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Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).

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Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.