Senior MLOps Engineer

at  Epam Systems

We are seeking a skilled and experienced Machine Learning Operations Engineer with a solid background in Python programming. If you’re passionate about streamlining machine learning model development and deployment processes, ensuring scalability, efficiency, and reliability, then this role is tailored for you!
As our Machine Learning Operations Engineer, you’ll play a pivotal role in revolutionizing our machine learning workflows. Collaborating closely with data scientists and machine learning engineers, you’ll create robust, production-level machine learning pipelines and infrastructure. Your expertise will be crucial in automating and monitoring machine learning workflows, optimizing operations, and integrating models into production systems seamlessly.
It is a fully remote position offering you the flexibility to work from any location in Poland, whether it’s your home or one of our well-equipped offices in Gdansk, Katowice, Krakow, Lodz, Warsaw, or Wroclaw.
Ready to take your career to the next level? Apply now and seize this exciting opportunity!

REQUIREMENTS

• Proven experience as an ML Ops Engineer, Data Engineer, or in a similar role focusing on machine learning model deployment and operations
• Proficiency in Python programming, specifically for machine learning applications
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries
• Familiarity with CI/CD tools and practices, containerization (Docker, Kubernetes), and cloud computing platforms (AWS, Azure, GCP)
• Understanding of data engineering principles and practices
• Fluent English proficiency (B2 level)
• Knowledge of machine learning model lifecycle management
• Ability to troubleshoot complex technical issues in machine learning systems
• Excellent communication skills for effective collaboration with technical and non-technical teams
• Ability to work independently as well as collaboratively in a team setting
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

• Streamline and automate the deployment of machine learning models into production environments
• Collaborate with data scientists and engineers to ensure seamless model integration
• Develop and manage continuous integration and deployment (CI/CD) pipelines for machine learning projects
• Design and maintain scalable machine learning infrastructure, leveraging cloud platforms and containerization technologies
• Optimize computational resources to handle large-scale data processing and model training efficiently
• Monitor machine learning models in production, ensuring their reliability and performance
• Perform regular maintenance and updates to machine learning systems and pipelines
• Work closely with cross-functional teams to incorporate best practices in machine learning operations
• Provide insights and recommendations for improving machine learning workflows and infrastructure
• Create detailed documentation for machine learning operations processes and systems
• Report on the status, performance, and impact of machine learning models in production