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Senior AI Platform Engineer
ConfidentialPune9 days ago
Job description7+ 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).
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
Skills Required
Git, Prometheus, Grafana, Elk, Python, Javascript
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Ai Platform Engineer • Pune
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