AI/ML Platform Engineer

• /No C2C option/
  
  

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.

Core Requirements

• 10 years of IT/engineering experience
• 3 years of handson 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 endtoend
  
  

Key Skills

• Deep Learning frameworks: TensorFlow, PyTorch, Keras
• LLMs, prompt engineering, NLP pipelines
• Python and Java as primary languages; strong engineering fundamentals
• FastAPI and microservices for ML inference
• InfrastructureasCode (Terraform)
• Kubernetes and Docker for scalable ML workloads
• Distributed/cloud systems design with AWS
• Edgetocloud system integration experience
• Handson build experience (not just design/architecture)
  
  

Responsibilities

• Build and deploy productiongrade ML/AI pipelines and services
• Develop LLMpowered and NLPdriven applications
• Write, optimize, and maintain highquality Pythonbased ML code
• Implement scalable infrastructure using Terraform, AWS, and Kubernetes
• Build FastAPIbased inference services and cloud APIs
• Collaborate with crossfunctional engineering teams to deliver highimpact systems
• Troubleshoot, optimize, and own systems endtoend as a handson engineer
  
  

Preferred Skills

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