Machine Learning Engineer
Role details
Job location
Tech stack
Job description
- Design, build, and maintain scalable ML pipelines.
- Collaborate with teams to translate business needs into ML solutions.
- Train, evaluate, and fine-tune models for various use cases.
- Deploy and monitor ML models ensuring performance and reliability.
- Ensure adherence to ethical AI and data governance standards.
Requirements
A global game developer is looking for a Machine Learning Engineer to join their Localization Data & AI team in Madrid. This role involves designing and deploying ML models, collaborating closely with Data Engineers, and implementing MLOps best practices. The ideal candidate should have at least 2 years of experience in Machine Learning Engineering, strong skills in Python, and knowledge of various ML technologies. The position emphasizes creativity and collaboration while providing comprehensive benefits and a supportive workplace culture., * 2+ years of hands-on experience in Machine Learning Engineering.
- Strong Python programming skills with experience in ML libraries.
- Familiarity with data processing frameworks and orchestration tools.
- Experience working with APIs and microservice-based architecture.
- Strong problem-solving skills and ability to communicate technical concepts., Machine Learning Engineering Python programming NLP techniques Computer Vision API development MLOps best practices Cloud services (AWS, Azure, GCP) Data Processing (Pandas, NumPy) Version Control (Git) Problem-solving skills, Bachelor's degree in Computer Science or related discipline
Benefits & conditions
Retirement savings Paid time off Complimentary games