AI/Data Science Lead - India - Sloka IT Solutions

    Sloka IT Solutions
    Sloka IT Solutions India

    4 days ago

    Description

    Greetings from Sloka IT Solutions / Kamkon IT Solutions (subsidiary for our India-based requirements)

    Job Title - AI/Data Science Lead

    Language - English

    Location - Bangalore/Mysore/Mangalore/BBSR

    Duration - Minimum of a year with possible extension

    Workplace type - Hybrid( 3 Days Office 2 days Home)

    Experience - 8+ Years

    About the Role:

    We are looking for a highly skilled AI / Data Science Lead to drive the design, development, and deployment of advanced AI solutions, with a strong focus on RAG-based systems, Agentic AI, and AI-driven automation. This role requires a blend of technical leadership, hands-on implementation, and strategic thinking to build scalable, enterprise-grade AI solutions.

    Key Responsibilities:

    Technical Leadership

    • Lead the design and implementation of RAG (Retrieval-Augmented Generation) architectures and Agentic AI systems.
    • Architect end-to-end AI solutions including data pipelines, vector databases, embeddings, and LLM integrations.
    • Define best practices for prompt engineering, model evaluation, and observability.
    • Guide and mentor a team of data scientists, AI engineers, and ML engineers.

    Solution Development

    • Build and optimize AI agents capable of decision-making, tool use, and multi-step reasoning.
    • Develop intelligent assistants, knowledge bots, and workflow automation using LLMs.
    • Implement vector search, semantic retrieval, and knowledge graph-based systems.
    • Work with structured and unstructured data sources (documents, logs, PDFs, APIs, etc.).

    Stakeholder Collaboration

    • Partner with business teams to translate use cases into AI solutions.
    • Present AI strategy, architecture, and roadmaps to leadership.
    • Collaborate with product, engineering, and cloud teams to integrate AI into production systems.

    MLOps & Governance

    • Define AI governance, security, and compliance frameworks.
    • Establish monitoring, drift detection, and evaluation mechanisms for AI systems.
    • Implement CI/CD pipelines for AI models and agents.

    Required Skills & Experience:

    Experience

    • 8+ years in IT / Data Science / AI / ML roles
    • Proven experience in building production-grade AI solutions
    • Hands-on experience with RAG-based systems and Agentic AI

    Technical Skills

    • Programming: Python (mandatory), SQL
    • LLMs & Frameworks:
    • OpenAI / Azure OpenAI / Anthropic / Google Gemini
    • LangChain, LlamaIndex, AutoGen, or similar frameworks
    • Vector Databases: Pinecone, FAISS, Weaviate, or Chroma
    • Data & ML:
    • NLP, embeddings, semantic search
    • Machine Learning basics
    • Cloud Platforms: AWS, Azure, or GCP
    • MLOps Tools: MLflow, Docker, Kubernetes, CI/CD

    Agentic AI Experience

    • Building autonomous AI agents
    • Tool-calling agents (APIs, databases, automation tools)
    • Multi-step reasoning and workflow orchestration
    • Memory, context management, and planning in AI systems

    Preferred Qualifications

    • Graduate or Master's degree in Data Science, AI, Computer Science, or related field
    • Experience in enterprise AI implementations
    • Exposure to SAP, ERP, or business process automation (nice to have)
    • Experience with Knowledge Graphs or Graph Databases

    If interested, kindly share your updated CV at (or)

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