DevOps & ML Engineer – Machine Learning Reply

Job Summary

Machine Learning Reply is seeking a DevOps and Machine Learning Engineer to join their Munich team. The role involves designing innovative, data‑intensive solutions for clients across banking, insurance, automotive and retail sectors. Engineers will build and maintain cloud‑based or on‑premises infrastructures (AWS, Azure, GCP, Databricks), automate workflows using MLOps best practices, and ensure robust monitoring, fail‑over and recovery mechanisms. The successful candidate will collaborate closely with enterprise architects, data scientists and stakeholders to translate complex business requirements into production‑ready applications. Responsibilities include developing data warehouses, data lakes, and orchestrating big data pipelines with Spark, Kafka and Airflow. Strong communication skills are required to present analytical results to management. In return, employees gain access to interdisciplinary projects, training in data engineering, cloud architecture, and data science, and benefits such as flexible work arrangements, public transport tickets, and gym subsidies. The company offers a collaborative, flat work environment with award‑winning office space in Munich.

Key Responsibilities

• Machine Learning Reply is seeking a DevOps and Machine Learning Engineer to join their Munich team. The role involves designing innovative, data‑intensive solutions for clients across banking, insurance, automotive and retail sectors. Engineers will build and maintain cloud‑based or on‑premises infrastructures (AWS, Azure, GCP, Databricks), automate workflows using MLOps best practices, and ensure robust monitoring, fail‑over and recovery mechanisms. The successful candidate will collaborate closely with enterprise architects, data scientists and stakeholders to translate complex business requirements into production‑ready applications. Responsibilities include developing data warehouses, data lakes, and orchestrating big data pipelines with Spark, Kafka and Airflow. Strong communication skills are required to present analytical results to management. In return, employees gain access to interdisciplinary projects, training in data engineering, cloud architecture, and data science, and benefits such as flexible work arrangements, public transport tickets, and gym subsidies. The company offers a collaborative, flat work environment with award‑winning office space in Munich.

About the Role

This role is ideal for someone who enjoys combining strategy, content, data and execution. You will work with cross-functional teams and contribute directly to the company’s digital growth in Kolkata and surrounding areas.

Job Requirements

• DevOps
• MLOps
• Python
• AWS
• Azure
• GCP
• Databricks
• Kubernetes
• SQL
• NoSQL
• Apache Spark
• Apache Kafka

Required Skills