MLOps Engineer Offline

Lemberg Solutions is, above all, a group of passionate professionals led by a core team that have been meticulously selected over the last 15 years. We are based in Lviv, Rivne, and Lutsk, and opened GmbH in Hamburg, Germany.
 

At LS, people come first. We know that our success is based on our people’s achievements. Each and every one of our 200 team members is highly valued for their hard work, and we’re always excited to welcome new specialists ready to embrace challenges with us.
 

Necessary skills and qualifications:

• At least 4 years of experience deploying and managing ML models with a strong understanding of AI/ML lifecycle management, automation tools, and version control systems (e.g., Git)
• Experience with deploying open-source Large Language Models (LLMs) 
• Proficiency with ML Ops for assessing and monitoring model performance and scalability
• Familiarity with Python, and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines/ Azure ML Studio/ VertexAI)
• Expertise in deploying models on cloud platforms such as AWS, Azure, or GCP
• Good knowledge of machine learning and deep learning principles
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

• Upper-intermediate level of English proficiency

   

Will be a plus:

• Experience with Kubernetes
• Familiarity with Retrieval-Augmented Generation (RAG) pipelines
• Knowledge and experience in API development

Responsibilities:

• Develop, refine, and use ML engineering platforms and components, development workflow pipelines 
• Deployment of open-source LLMs and other models to different instances
• Collaborate closely with client-facing teams to understand their needs and provide technical support
• Rapid model deployment implementation
• Developing process-related documentation 
• Kubeflow and MLFlow upgrade