Data/MLOps Engineer – CT&C (m/k/n)

Your responsibilities, ML & Data Infrastructure, Deploy, maintain, and optimize end-to-end machine learning lifecycles, including automated training, deployment, monitoring, and versioning., Build and support core MLOps capabilities such as Feature Stores, Experiment Tracking platforms, and Model Registries., Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC) solutions such as Terraform or AWS CloudFormation., Design and implement robust CI/CD/CT (Continuous Training) pipelines to enable reliable and repeatable production releases., Collaborate closely with Data Scientists to productionize machine learning models and workflows., Data Engineering & Pipeline Optimization, Design and develop high-volume data ingestion and processing pipelines using Apache Spark, PySpark, and Python., Build scalable ETL/ELT solutions supporting advanced analytics and machine learning workloads., Implement optimized data models and storage strategies to support low-latency model inference and high-performance analytics., Integrate automated data quality validation, monitoring, and observability capabilities across data platforms., Governance, Monitoring & Security, Implement proactive monitoring for model performance, model drift, data quality issues, and system latency., Ensure complete reproducibility through robust versioning of data, code, models, and artifacts., Apply security best practices across the ML lifecycle, including access management, data privacy, and compliance requirements., Support operational excellence through incident management, troubleshooting, and continuous improvement initiatives., Agile Delivery & Collaboration, Work within Agile delivery teams, participating in sprint planning, backlog refinement, daily stand-ups, and retrospectives., Translate business and data science requirements into scalable technical solutions., Collaborate with Product Owners, Data Scientists, Data Engineers, and Platform Teams to deliver production-grade ML solutions., Create and maintain technical documentation covering architecture, workflows, pipelines, and operational procedures. What we offer, home office work