Machine Learning Engineer

micro1 is seeking a skilled Machine Learning Engineer to join a dynamic project focused on training next-generation AI systems. You will play a pivotal role in shaping how models learn, reason, and perform by applying your technical expertise to real-world data challenges.

Key responsibilities

• Design, develop, and refine machine learning models using Python and industry-standard libraries to meet project objectives.
• Analyze large datasets and utilize MongoDB to efficiently manage and retrieve data for model training and validation.
• Collaborate with cross-functional teams to identify areas for model improvement and implement robust, scalable solutions.
• Conduct thorough model evaluations, including hyperparameter tuning and benchmarking, to ensure optimal performance.
• Document methodologies, experiments, and outcomes to maintain transparent and repeatable development workflows.

Requirements

• Demonstrated expertise in Python and deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with MongoDB for data manipulation, storage, and retrieval within complex machine learning projects.
• Strong problem-solving skills with a proven track record of delivering innovative ML solutions in real-world environments.
• Solid understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.
• Excellent written communication skills for documenting technical findings and sharing best practices within a remote team.

What we offer

• The opportunity to work on cutting-edge AI systems that push the boundaries of machine learning.
• A fully remote work environment that values collaboration and technical excellence.
• Engagement in a dynamic project with cross-functional contributors to solve complex data challenges.