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.
- Strong 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, frameworks, or internal developer tools.

Nice to Have

- Exposure to the product development lifecycle.
- Experience working in Agile environments such as Scrum or Kanban.
- Experience with data observability tools.
- Experience supporting ML/AI workflows in production.
- Exposure to embeddings, vector search, or Knowledge Graph technologies.

In return, we offer you:

- Plenty of opportunities to grow and develop.
- A culture known for respectful interaction, ethical behaviour and integrity.
- Potential to see your ideas realized and to make an impact.
- New challenges and new things to learn every day.
- Access to global job opportunities, as part of the Atlas Copco Group.
- An excellent remuneration package
- Support for maintaining a healthy work-life balance, including vacation, personal, and sick time.

Company: Atlas Copco Group

Functional area

Information Technology

Location

India

City

Pune

In office/remote:

Hybrid

Brand

Edwards

Company Name

Edwards India Private Ltd

Date of Posting

August 13, 2026

Apply for this position

📌 AI Platform Engineer (Pune)
🏢 Atlas Copco Group
📍 Pune