Machine Learning Engineering Lead

• Support to Head of AI on MLOps service offering from business point of view – managing related proposals, cooperation with marketing team and other business-oriented tasks involving MLOps
• Execution and guidance of technical POCs and projects.
• Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field.

• 5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
• Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
• Experience with cloud platforms, containerization technologies and automated testing and monitoring of machine learning models.
• Bachelor’s or higher degree in Computer Science, Engineering, or a related field.

Nice to have:

• Experience of deploying llm models on premise.
• Experience with data science project.