AI​/ML Platform Engineer

We are seeking a hands‑on Senior AI/ML Platform Engineer with 10+ years of IT experience and a strong track record of building, deploying, and operationalizing AI/ML systems. The ideal candidate is a doer who excels in implementing scalable, production‑grade AI/ML solutions across cloud environments.

• 10+ years of IT/engineering experience
• 3+ years of hands‑on AI/ML development experience
• 4+ years working directly with AWS services (Lambda, EC2, S3, DynamoDB, IoT Core, API Gateway, Fargate/ECS)
• Proven experience deploying ML systems into production environments
• Strong coding skills and ability to build systems end‑to‑end

• Deep Learning frameworks:
  Tensor Flow, PyTorch, Keras
• LLMs, prompt engineering, NLP pipelines
• Python and Java as primary languages; strong engineering fundamentals
• FastAPI and microservices for ML inference
• Infrastructure as Code (Terraform)
• Kubernetes and Docker for scalable ML workloads
• Distributed/cloud systems design with AWS
• Edge‑to‑cloud system integration experience
• Hands‑on build experience (not just design/architecture)

• Build and deploy production‑grade ML/AI pipelines and services
• Develop LLM‑powered and NLP‑driven applications
• Write, optimize, and maintain high‑quality Python‑based ML code
• Implement scalable infrastructure using Terraform, AWS, and Kubernetes
• Build FastAPI‑based inference services and cloud APIs
• Collaborate with cross‑functional engineering teams to deliver high‑impact systems
• Troubleshoot, optimize, and own systems end‑to‑end as a hands‑on engineer

• Experience with distributed systems and microservices
• Strong understanding of ML model lifecycle, deployment patterns, and operational monitoring