onsite
Machine Learning Engineer - Weekday AI (YC W21)
Machine Learning Engineer
Machine Learning Engineer to build and deploy scalable ML models, specializing in classification, regression, and generative AI using Python, TensorFlow, and cloud platforms.
About the role
Key Responsibilities
- Develop and deploy machine learning models for classification, regression, and clustering tasks
- Design and implement scalable data pipelines for training and validation processes
- Optimize models for performance and efficiency in production environments
- Collaborate with cross-functional teams to integrate ML solutions into existing systems
- Monitor and maintain model performance, ensuring accuracy and reliability
- Leverage cloud infrastructure platforms like Azure or GCP for scalable ML deployments
Requirements
- Strong foundation in Python and machine learning frameworks (Scikit-learn, TensorFlow, Keras)
- Experience with data processing tools (Pandas, NumPy) and SQL for data querying
- Proficiency in cloud platforms (Azure, GCP) and ML tools (Databricks Delta Lake, MLflow)
- Understanding of generative AI and large language models (LLMs)
- Ability to write production-quality code and work with version control systems (Git, GitHub)
Skills
pythonscikit learntensorflowkeraspandassqlgenerative ailarge language modelsazuredatabricks delta lakemlflow