Machine Learning Engineer (Mid-Level)

About the role

Work on building and deploying ML systems that power a fast moving product. You will contribute across the full ML lifecycle and collaborate with product and engineering teams to ship models that make a real impact.

Key responsibilities

• Design, train, and evaluate machine learning models for production use cases.
• Implement end‑to‑end ML pipelines from data preprocessing to model serving and monitoring.
• Collaborate with product and engineering teams to translate business requirements into ML solutions.
• Debug and optimize model performance in production and iterate based on real‑world feedback.
• Write clean, maintainable code and contribute to ML infrastructure and tooling.
• Participate in code reviews and share knowledge with the broader team.

Required profile

• 3+ years of professional experience in machine learning or software engineering with hands‑on applied ML in production systems.
• Experience in startup or fast‑moving product environments with rapid iteration cycles.
• Strong fundamentals in model selection, evaluation, feature engineering and validation.
• Comfort with ambiguity and ability to prioritize impact in a dynamic setting.

Required skills

• Python (or similar languages).
• ML frameworks such as TensorFlow, PyTorch or scikit‑learn.
• Building, deploying and maintaining ML systems at scale, including A/B testing, monitoring, data pipelines and MLOps tools.
• Cloud ML platforms and container technologies.