Description
The Machine Learning Engineer will translate product and business questions into machine learning tasks, develop and evaluate models in Python, build reproducible data and machine learning pipelines, prepare services or batch jobs with Docker, work in AWS or GCP, use SQL for data exploration and validation, monitor model performance, troubleshoot production issues, and document results. The role requires machine learning fundamentals, Python, data and SQL experience, initial ML solution development experience, and strong communication and problem-solving skills; containerization, cloud platforms, NLP, LLMs, AI agents, NoSQL, distributed processing, streaming, and software engineering practices are preferred.
