Overview

Join to apply for the MLOps Engineer role at Capgemini Engineering. Capgemini Engineering is a world leader in engineering services, bringing together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential.

Responsibilities

• Design, implement, and maintain scalable MLOps pipelines for data ingestion, transformation, and model deployment.
• Automate model training, retraining, versioning, and governance processes.
• Deploy, monitor, and maintain machine learning models in production environments.
• Collaborate with data scientists to operationalize machine learning models and with software engineers to integrate ML systems into broader platforms.
• Use containerization tools like Docker and orchestration platforms like Kubernetes for scalable deployments.
• Implement CI/CD pipelines and automations to streamline ML model deployment.
• Utilize cloud services from AWS, GCP, and Snowflake for scalable data storage and processing.

Qualifications

• At least 5+ years in platform, software, or MLOps engineering roles.
• Proficiency in Python for ML development; familiarity with additional languages like Clojure is a plus.
• Expertise in cloud platforms (AWS, GCP) and data warehouses like Snowflake or BigQuery.
• Strong knowledge of MLOps frameworks (e.g., Kubeflow, MLflow) and DevOps tools (e.g., Jenkins, GitLab, Flux).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Experience with infrastructure-as-code tools like Terraform.
• Solid understanding of machine learning principles, including model evaluation, explainability, and retraining workflows.
• Hands‑on experience with ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL/NoSQL databases and distributed computing systems like Dataprov, EMR, Spark, and Hadoop.
• Strong communication skills and problem‑solving mindset with the ability to work in agile environments.

Benefits

• Well‑being culture with medical care, private life insurance, and sports card.
• Access to over 70 training tracks with certification opportunities on our NEXT platform.
• Continuous feedback and ongoing performance discussions.
• Hybrid working model with modern office and ergonomic work from home.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics.

Apply Now

Apply now and take the next step in your engineering career at Capgemini Engineering.