onsite
Machine Learning - Phamily
ML Engineer
Hands‑on Machine Learning Intern supporting AI research and development, building and optimizing models, and automating data pipelines using Python and advanced ML techniques.
About the role
Key Responsibilities
- Develop, test, and refine machine learning models for real‑world AI projects.
- Collaborate with the Director of AI and engineering teams to integrate models into production pipelines.
- Automate data collection, preprocessing, and feature engineering workflows.
- Analyze model performance, conduct experiments, and document findings.
- Stay current with emerging AI technologies and propose innovative solutions.
Requirements
- Strong programming skills in Python and familiarity with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Solid foundation in data science concepts, statistics, and data manipulation.
- Experience with data pipelines, automation, and version control (Git).
- Excellent problem‑solving abilities and a collaborative mindset.
- Enthusiasm for learning and applying cutting‑edge AI research.
Skills
pythonmachine learning