Machine Learning Engineer for AI Model Training

Help improve next-generation AI systems by designing, evaluating, and refining machine learning models using real-world data and production-oriented workflows. This remote contract role focuses on building effective ML solutions, improving model performance, and contributing technical expertise to an active customer project. Key Responsibilities

• Design, develop, and refine machine learning models using Python and relevant libraries to meet project objectives.
• Analyze large datasets and use MongoDB to store, manage, and retrieve data for model training and validation.
• Collaborate with cross-functional contributors to identify opportunities for model improvement and implement robust solutions.
• Evaluate models, tune hyperparameters, and benchmark results to improve performance.
• Document methodologies, experiments, and outcomes to support transparent and repeatable workflows.
• Integrate data pipelines and preprocessing workflows to streamline model training and inference.
• Provide actionable insights and recommendations based on data analysis and machine learning outcomes.
• Apply machine learning expertise to help train and improve next-generation AI systems, including how models learn, reason, and perform.

• Demonstrated expertise with Python and machine learning.
• Deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience using MongoDB for data manipulation, storage, and retrieval in machine learning projects.
• Strong problem-solving skills and experience delivering innovative machine learning solutions in real-world settings.
• Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.
• Background deploying or operationalizing machine learning models in cloud or enterprise environments.
• Clear written communication and documentation skills for sharing technical findings and best practices.
• Ability to adapt quickly to changing project requirements and collaborate effectively in a remote environment.

• Remote contract engagement.
• Work is performed as an independent contractor on a customer project.
• Project participation is associated with the available customer engagement and its current requirements.

Hourly compensation ranges from $80 to $140.

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