Lead MLOps Engineer — Cloud & AI Infrastructure

Empower AI deployment at scale — shape the future of machine learning infrastructure!

Warsaw-based opportunity with hybrid work model.

As a Lead MLOps Engineer — Cloud & AI Infrastructure, you will be working for our client, a global leader in the technology and consumer electronics sector, renowned for its innovative advances in the semiconductor industry. You will join a high-impact team dedicated to building robust end-to-end infrastructure for deploying and maintaining machine learning models based on proprietary data. This role offers the chance to collaborate closely with top-tier ML researchers and engineers, delivering scalable, reliable solutions that power products used by millions worldwide. Grow your career at the forefront of AI innovation.

Your main responsibilities:

• Design and develop scalable machine learning infrastructure for low-latency environments
• Serve machine learning models to downstream applications securely and reliably
• Manage model versioning and implement rollback mechanisms
• Develop and implement monitoring tools to detect performance issues and data drift
• Build and maintain automated data preprocessing and model training pipelines
• Integrate ML serving systems with data pipelines, monitoring, and alerting frameworks
• Optimize serving systems for efficiency, speed, and reliability
• Research and prototype innovative ML architectures and serving technologies
• Streamline deployment workflows with robust testing practices
• Collaborate with ML engineers to operationalize production-grade models at scale

You're ideal for this role if you have:

• Minimum 3 years of experience in developing distributed microservices and cloud infrastructure
• Strong proficiency in Python and familiarity with Go
• Hands-on experience with Infrastructure as Code and orchestration tools like Terraform and Kubernetes
• Solid knowledge of AWS services such as Sagemaker, Lambda, EMR, and EC2
• Practical experience with CI/CD pipelines using GitHub Actions or ArgoCD
• Familiarity with monitoring and alerting systems like Prometheus and Grafana
• Experience with big data tools and frameworks such as Spark, Hadoop, and Airflow
• Understanding of mainstream ML frameworks like TensorFlow and PyTorch

It is a strong plus if you have: (optional)

• Certifications in cloud or DevOps technologies
• Experience with advanced ML deployment architectures or data engineering

#GETREADY to meet with us!
If you are interested, please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can also send your CV directly to cv-recruitment@itds.pl.