(Junior) Machine Learning Engineer (all genders)
Core
Junior ML Engineer developing, evaluating, and improving machine learning models and data pipelines for production environments.
Role type
Junior IC machine learning engineer
Builds
Production ML models and data pipelines
Domain
Cloud-based ML (AWS/GCP), NLP, LLMs
Deliverable
production ML models
Required skills
Python, SQL, ML model evaluation, data pipeline development, Docker, cloud platforms (AWS/GCP), problem-solving, documentation
Preferred skills
NLP, LLMs, AI agents, NoSQL, distributed data processing, streaming technologies, CI/CD practices, model monitoring and debugging
Technologies
Python, SQL, Docker, AWS, GCP
Responsibilities
Translate product/business questions into ML tasks; develop and improve ML models with Python; contribute to reproducible data and ML pipelines; prepare services and batch jobs for production; work with cloud-based ML environments; use SQL for data investigation and validation; monitor model performance and troubleshoot issues; document work and assumptions; collaborate with Data Engineering, Software Engineering, and Product teams; consider model quality, robustness, and fairness.
Seniority
Junior, hands-on IC