ML Ops Engineer

Capco Poland is seeking an ML Ops Engineer to join their team. This role involves developing, deploying, and maintaining infrastructure for Machine Learning to support Data Science and Machine Learning Teams. The ideal candidate will focus on automating modeling processes, monitoring models in production environments, and managing the full ML lifecycle.

Key responsibilities include:

• Designing and developing pipelines for training and deploying ML models
• Automating and monitoring ML processes, including version control and model updates
• Collaborating with Data Science and Data Engineering teams to integrate ML models into production environments
• Building and maintaining systems for monitoring ML models to track performance and stability
• Optimizing cloud infrastructure (GCP) for ML deployments
• Troubleshooting issues related to performance and availability of ML models in production
• Ensuring CI/CD best practices for ML models

The tech stack includes Python, TensorFlow, PyTorch, MLflow, Kubeflow, Airflow, CI/CD, and GIT. Experience with tools like Spark, Hadoop, GCP, Pub/Sub, Big Query, Kafka, Juniper, Apache NiFi, Hive, Impala, and Cloudera is a plus.

Capco offers a flexible work environment with remote options, ongoing learning opportunities, and a flat, non-hierarchical structure. They provide multiple employee benefits packages, access to business courses, and opportunities to participate in charity events.

Join Capco to be part of an innovative work culture focused on creating lasting value for clients and employees in the financial services industry.