Xperteez Technology

🌍 Machine Learning Engineer, Remote - Contract

Worldwide · Remote · REMOTE · FREELANCE
Publiée le 7 octobre 2026 · Candidature traitée sur le site de l’entreprise
Data ScienceMachine-Learning-EngineerAI-EngineerRemote-Machine-Learning-EngineerContract-ML-Engineer

Role Title: Machine Learning Engineer Role Type: Contractor Location: Remote Required Skills: • Python • Machine Learning • MongoDB Scope of Work: • Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives. • Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation. • Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions. • Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance. • Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows. • Integrate data pipelines and preprocessing workflows to streamline training and inference processes. • Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes. Preferred Qualifications: • Demonstrated expertise with Python, including 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 machine learning projects. • Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings. • Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques. • Background in deploying or operationalizing machine learning models in cloud or enterprise environments. • Clear written documentation and communication skills for sharing technical findings and best practices. • Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting. Originally posted on Himalayas

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