AI Developer, Digital Enterprise

About the role

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What you'll do

• This role combines in-depth coding expertise with a strong systems engineering mindset: you’ll own the execution of end-to-end AI platform lifecycle—from infrastructure
• Collaborate closely with solutions architects, data scientists, DevOps engineers, and product owners to turn models into reliable, secure
• Design, build, and maintain AI/ML platform components (training clusters, feature stores, inference services, GenAI, vision, RAG, NLP)
• Develop and manage infrastructure-as-code for scalable deployments (Terraform, ARM template)
• Implement and operate CI/CD pipelines for automated model training, testing, and deployment

What you need

• 3–6 years in data science & ai
• Machine learning
• Python
• MLOps
• Scikit-learn
• LLMs
• ETL
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• NLP
• AWS
• Azure Data Factory
• TensorFlow
• PyTorch
• Kafka