Python + Gen AI Resources

2 - 6 years

2 - 6 Lacs

Posted:1 day ago| Platform: Foundit logo

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Job Description

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Python + Generative AI Specialist

Key Responsibilities:

  • Generative AI Development:

    Apply deep understanding of Generative AI (GenAI) models, including their underlying mathematical principles and practical implementations, to design and build innovative solutions.
  • LLM & Cloud Integration:

    Gain hands-on experience working with Large Language Model APIs (e.g., Azure OpenAI, Anthropic) and integrating them within cloud ecosystems such as

    Azure, AWS, GCP, and Databricks.

  • AI Workflow Implementation:

    Utilize your proficiency in

    LangChain, LangGraph

    , and

    Vector Databases

    to develop advanced data retrieval and complex AI workflows.
  • Deep Learning & ML Expertise:

    Leverage expertise in Deep Learning techniques and applications. Work proficiently with

    Python

    and key AI/ML libraries and frameworks like

    TensorFlow, PyTorch, or Hugging Face.

  • Problem-Solving & Analysis:

    Utilize excellent problem-solving and analytical skills to tackle complex challenges and extract meaningful insights from data.
  • Collaboration & Communication:

    Effectively communicate complex models, technical concepts, and analytical insights to both technical and non-technical stakeholders.

Required Skills & Experience:

  • Total Years of Experience:

    8 to 10 years
  • Relevant Years of Experience:

    5 to 8 years
  • Education:

    Bachelor's or Master's degree or equivalent in Machine Learning, Computer Science, Computational Linguistics, Mathematics, or a related technical field from a premier institute.

Mandatory Skills:

  • Python

  • Generative AI (GenAI)

Core Technical & Domain Knowledge:

  • Strong foundation in Probability, Statistics, Linear Algebra, Calculus, Machine Learning, and Generative AI/LLM.
  • Expertise in Deep Learning techniques and applications.
  • Hands-on experience with Large Language Model APIs (Azure OpenAI, Anthropic, etc.) and cloud ecosystems (Azure, AWS, GCP, Databricks).
  • Proficiency in LangChain, LangGraph, and working with Vector Databases.
  • Knowledge of financial products, including mutual funds, ETFs, and client segmentation, is a plus.

Additional Information:

  • Approx. Vendor Billing Rate:

    INR 16,000 per day (excluding service tax)
  • Background Check:

    As per client policy.
  • Mode of Interview:

    Telephonic / Microsoft Teams Video.

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