AI & ML Engineer (4+)
crisil | 122 days ago | Pune

Why Join Us?   

  •  Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques.   
  •  Collaborate with dynamic global teams spanning finance, technology, and client solutions.   
  •  Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork.   
  •  Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes.   
  •  Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. 

  

What You’ll Do:   

  •  Develop and deploy advanced AI solutions using the latest Generative AI techniques including:   
  •    Retrieval-Augmented Generation (RAG) pipelines.   
  •    Designing and building Agentic AI systems to automate complex decision-making workflows.   
  •    Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation.
  •  Build scalable AI workflows, adhering to robust engineering and code quality standards.   
  •  Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP).   
  •  Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders  to translate business challenges into AI-driven solutions.   
  •  Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art.   

 

What We’re Looking For:   

Experience & Skills:   

  •  4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles.   
  • Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM.   
  •  Strong programming skills in Python with a focus on clean, maintainable, and performant code.
  • Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines.
  •  Having a public Github code repository or Kaggle profile will be a big plus.
  • Solid understanding of data structures, algorithms, software design principles, and scalable system design.   
  •  Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus.   
  •  Decent communication skills to effectively collaborate across global teams and handle client interactions.
    • Self-driven, proactive mindset with a passion for problem-solving and innovation. 
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