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Senior AI Platform Engineer

2 weeks ago

Pune, Maharashtra, India Agco Corporation Full time ₹ 15,00,000 - ₹ 20,00,000 per year

We are seeking a Senior AI Platform Engineer to design, build, and scale the infrastructure that powers secure and reproducible AI workflows across cloud and hybrid environments. This role is ideal for experienced engineers who thrive at the intersection of AI, DevOps, and platform engineering.

Key Responsibilities

  • Design and develop platform services for containerized model training, distributed computing, artifact management, and deployment automation.
  • Build and maintain infrastructure that ensures scalability, reproducibility, and security of AI workflows across various environments.
  • Implement CI/CD pipelines, observability frameworks, and developer tools to support multiple AI teams efficiently.
  • Collaborate with cross-functional teamsincluding data scientists, ML engineers, architects, and developers—to deliver essential platform features.
  • Champion automation, enforce performance and security best practices, and drive operational reliability across platform services.
  • Provide technical mentorship and contribute to long-term architecture and platform strategy.
  • Stay updated with the latest advancements in cloud infrastructure, AI/ML tooling, and platform engineering trends.

Skills & Qualifications

  • 7+ years of experience in software or platform engineering, including at least 3 years working on infrastructure for data or AI systems.
  • Demonstrated experience building infrastructure on GCP or AWS (GCP preferred).
  • Proficiency in Python, Go, or JavaScript, with a focus on developing scalable and secure backend services.
  • Strong knowledge of container orchestration (e.g., Kubernetes), serverless technologies, and Infrastructure as Code tools like Terraform.
  • Hands-on experience with data processing frameworks (e.g., Spark) and workflow orchestration tools (e.g., Airflow).
  • Deep understanding of CI/CD workflows, version control systems (e.g., Git), and modern monitoring/logging stacks (e.g., Prometheus, Grafana, ELK).