Your Role
- Design and build a scalable data and AI platform supporting batch and streaming workloads.
- Establish standardized infrastructure, frameworks, and best practices for data and AI workloads.
- Build and manage orchestration frameworks such as Airflow, Prefect, or Dagster, including reusable pipeline templates.
- Enable self-service data access through APIs, query engines, and semantic layers.
- Develop infrastructure to support AI/ML training, experimentation, deployment, reproducibility, and model versioning.
- Implement platform-wide logging, monitoring, alerting, governance, security, and access controls.
- Define and maintain SLAs for platform services and data pipelines.
- Standardize datasets as discoverable, documented, versioned, and reusable data products.
- Build internal platform capabilities and tooling that improve developer experience and engineering productivity.
- Design systems that scale with increasing data volumes and concurrent workloads without frequent re-architecture.
- Collaborate with engineering, data,



and business teams to align platform capabilities with business and data use cases.

To Succeed, You Will Need
- Bachelor’s or master’s degree, or equivalent practical experience.
- 4+ years of experience in data platform, backend, infrastructure, or related engineering roles.
- Solid experience in data platform or infrastructure engineering.
- Proven experience designing and building scalable distributed systems.
- Deep understanding of data pipelines, storage systems, APIs, and data architecture.
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
- Experience with orchestration tools such as Airflow, Prefect, or Dagster.
- Strong knowledge of data technologies such as Spark, Kafka, Snowflake, or BigQuery.
- Experience with Infrastructure as Code tools such as Terraform or similar.
- Understanding of platform reliability, observability, security, and data governance.
- Experience building reusable platforms,

📌 AI Platform Engineer (Pune Division)
🏢 Edwards Vacuum
📍 Pune Division