YO HR Consultancy

Role Title: Machine Learning Engineer
Role Type: Contractor
Location: Remote
Your profile
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Machine Learning Engineers to contribute expertise to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work
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<li>Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives.</li>
<li>Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation.</li>
<li>Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions.</li>
<li>Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance.</li>
<li>Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows.</li>
<li>Integrate data pipelines and preprocessing workflows to streamline training and inference processes.</li>
<li>Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes.</li>
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Preferred Qualifications
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<li>Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.</li>
<li>Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects.</li>
<li>Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings.</li>
<li>Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.</li>
<li>Background in deploying or operationalizing machine learning models in cloud or enterprise environments.</li>
<li>Clear written documentation and communication skills for sharing technical findings and best practices.</li>
<li>Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting.</li>
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