onsite
Machine Learning Engineer
Machine Learning Engineer
This role involves implementing Machine Learning models into production, designing and delivering GenAI solutions, and driving practical implementations of LLM/ML/AI automation. The engineer will also be responsible for defining MLOps/LLMOps best practices and managing industrialized processing pipelines.
About the role
Responsibilities
- Working with Data Science teams to implement Machine Learning models into production
- Design, delivery GenAI solutions
- Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
- Design, delivery and management of industrialized processing pipelines
- Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
- Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices
- Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations
- Gathering technical requirements & estimating planned work
- Presenting solutions, concepts and results to internal and external clients
- Creating technical documentation
Skills
Machine LearningGenaiLlmAi AutomationMlopsLlmopsML Architecture