Data Scientist

4 days ago

Bengaluru, Karnataka, India Straive Full time

About the Role

Straive is looking for a talented and driven
Consultant / Data Scientist / GenAI Engineer
to join our
Analytics & GenAI delivery team
. In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.

This role is ideal for candidates from
premier engineering institutes
with
2–3 years of relevant experience
in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.

Key Responsibilities

  • Develop and maintain
    Python-based
    applications, AI/ML models, and data processing pipelines for GenAI projects.
  • Implement
    Large Language Model (LLM)
    integrations, including
    Retrieval-Augmented Generation (RAG)
    pipelines and embedding-based search solutions.
  • Build data ingestion and transformation workflows, working with structured and unstructured datasets.
  • Optimize AI model performance through
    prompt engineering
    , fine-tuning, and evaluation techniques.
  • Collaborate closely with senior team members to translate business requirements into technical solutions.
  • Integrate AI solutions with
    vector databases
    (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
  • (Optional) Contribute to
    cloud-native deployments
    and
    Azure architecture
    –based solutions, including containerization, CI/CD, and basic MLOps workflows.
  • Document workflows, maintain code repositories, and follow Agile development practices.

Required Qualifications

  • 2–3 years
    of relevant experience in AI/ML development, preferably in enterprise projects.
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field from a
    premier engineering institute
    .
  • Proficiency in
    Python
    programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
  • Hands-on experience implementing
    RAG pipelines
    , embeddings, and vector search solutions.
  • Understanding of
    LLM architectures
    and integration patterns.
  • Working knowledge of
    SQL
    and data processing best practices.
  • Basic knowledge of
    cloud DevOps concepts
    , preferably with
    Azure
    (AWS/GCP experience is also acceptable).

Preferred Skills

  • Exposure to
    agentic AI frameworks
    such as LangGraph, Semantic Kernel, or similar.
  • Familiarity with ML model lifecycle management and deployment workflows.
  • Prior experience working with cross-border teams and Agile environments.

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