onsite
Machine Learning Engineer
Machine Learning Engineer
This role involves implementing Machine Learning models and GenAI solutions into production, focusing on scalable LLM/ML/AI automation. The engineer will design processing pipelines, define MLOps/LLMOps best practices, and support Data Science teams in implementing frameworks.
About the role
About the Role
As a Machine Learning Engineer, you will be instrumental in bridging the gap between data science and production by implementing cutting-edge Machine Learning models and GenAI solutions. Your work will focus on practical, innovative, and scalable implementations of LLM/ML/AI automation, ensuring efficiency and robust operations.
Responsibilities
- Work with Data Science teams to implement Machine Learning models into production.
- Design and deliver GenAI solutions.
- Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency.
- Design, delivery, and management of industrialized processing pipelines.
- Define and implement best practices in ML models life cycle and ML operations/LLM operations.
- Implement AI /MLOps/LLMOps frameworks and support Data Science teams in best practices.
- Gather and apply knowledge on modern techniques, tools, and frameworks in the area of ML Architecture and Operations.
- Gather technical requirements & estimate planned work.
- Present solutions, concepts, and results to internal and external clients.
- Create technical documentation.
Skills
Machine LearningGenaiLlmAi AutomationMlopsLlmopsData science