Gen AI Developer(Azure or AWS) - Gurugram/Bengaluru/Hyderabad

Job Title: Gen AI Developer (Senior Associate)

Location: Bangalore/Hyderabad/Gurugram

Department: Data & Advanced Analytics

Job Summary:

Generative AI Developer

Key Responsibilities:

• Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks
• Build scalable backend systems using Python, ensuring seamless integration with UI/UX components
• Design and optimize generative AI models to address diverse business challenges
• Fine-tune pre-trained LLMs to align with specific use cases
• Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions
• Collaborate with clients to gather requirements and develop customized AI capabilities
• Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance

Qualifications:

• Bachelors Degree (preferred CS/IT) in advanced analytics or ML or Master's in Machine Learning, Statistics, Econometrics, or a related field
• 4-8 years of professional experience in Data Science or AI/ML application development.
• Hands-on experience with Generative AI models and frameworks
• Stay updated on industry trends, emerging technologies and best practices in Gen AI & Data Science

Must-Have Skills:

• Proficiency in Python for application development
• Experience working with

  Generative AI frameworks

  and libraries (e.g., Hugging Face, OpenAI API, LangChain)
• Strong knowledge of LLMs and fine-tuning techniques
• Experience with

  RAG

  (Retrieval-Augmented Generation) techniques &

  Agentic workflow

• Hands-on experience with Python web frameworks like Flask, FastAPI, or Django
• Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and scaling
• Frontend development skills (HTML, JavaScript, React)
• Strong problem-solving and debugging skills
• Experience with

  version control

  systems such as

  Git/Bitbucket

• Understanding of

  MLOps

  frameworks for model lifecycle management
• Exposure to

  DevOps

  culture with hands on experience in Jenkins for CI/CD would be added advantage.
• Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage