AI/ML & GenAI Engineer

AI/ML & GenAI Engineer

Employment Type:

Location:

Experience:

Industry:

Role Overview

AI/ML & GenAI Engineer

Key Responsibilities

• Design, develop, and implement

  Machine Learning and Generative AI solutions

  .
• Develop and optimize ML models using

  Python and relevant ML frameworks

  .
• Work with

  Large Language Models (LLMs)

  for enterprise AI use cases.
• Design and implement

  Prompt Engineering

  strategies.
• Build and optimize

  Retrieval-Augmented Generation (RAG)

  pipelines.
• Develop AI/ML applications integrating LLMs, APIs, and enterprise data sources.
• Deploy, monitor, and maintain

  AI/ML models and GenAI applications in production

  .
• Optimize models and pipelines for performance, scalability, accuracy, and reliability.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into AI solutions.
• Follow best practices for model evaluation, security, monitoring, and responsible AI.

Mandatory Skills

• Python

• Machine Learning / Deep Learning

• Hands-on experience with

  ML frameworks

  such as PyTorch, TensorFlow, or Scikit-learn

• Generative AI / LLMs

• Prompt Engineering

• RAG (Retrieval-Augmented Generation)

• Experience deploying

  AI/ML models into production

• Strong understanding of ML model development and evaluation

Good to Have

• Experience with

  Vector Databases

• LangChain / LangGraph or similar GenAI frameworks
• Experience with

  LLM APIs

• Cloud platforms such as

  AWS, Azure, or GCP

• MLOps / Model Monitoring
• Experience in

  Financial Services / BFSI domain

Candidate Profile

• 6–10 years

  of overall experience in AI/ML, Data Science, or related areas.
• Strong hands-on development experience with Python and AI/ML technologies.
• Experience building

  production-grade ML and GenAI solutions

  .
• Strong problem-solving and analytical skills.
• Candidates should be comfortable working

  onsite from Pune

  .

Apply Now

Khushboo@Sourcebae.com

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