Platform Engineer/ML

Design and build robust CI/CD pipelines for end-to-end machine learning workflows

Write Terraform scripts from scratch to manage infrastructure-as-code in a scalable and cloud-agnostic manner

Implement and maintain ML lifecycle workflows, including model training, deployment, performance monitoring, and retraining

Automate model drift detection and trigger retraining to maintain model accuracy

Create self-service capabilities for internal stakeholders to manage and deploy ML models independently

Collaborate with data scientists and DevOps teams to integrate models with REST APIs and third-party services

Oversee model release processes, artifact management, and infrastructure provisioning

Ensure seamless deployment of models across cloud environments without vendor lock-in

Requirements

Minimum 2 years of hands-on experience in AI/ML engineering

Proficient in building CI/CD pipelines and infrastructure automation

Strong experience writing Terraform scripts from scratch (not templated or assisted)

Familiarity with ML Ops practices including model monitoring, retraining, and lifecycle governance

Experience with REST APIs and serving models in production environments

Knowledge of cloud-agnostic architecture and container orchestration tools

Strong collaboration skills and ability to work cross-functionally with engineering and data science teams