Remote ML Engineer: Python, PyTorch & MongoDB

Your Software Supplier; United States; Remote; Confidential; Full time

Job summary

MIcro1 is seeking a machine learning practitioner to design and refine ML models using Python, with strong experience in scikit-learn, TensorFlow, or PyTorch. You will work on large datasets, leverage MongoDB for data handling, and collaborate across teams to improve models in cloud environments.

The role emphasizes model evaluation, documentation, and robust data preprocessing pipelines, with remote collaboration and impactful data-driven outcomes across projects.

Qualifications

• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with MongoDB for data manipulation in ML projects.
• Strong problem-solving and ability to deliver innovative ML solutions.
• Experience deploying ML models in cloud or enterprise environments.
• Clear written communication and documentation skills.
• Ability to work remotely and collaborate across teams.

Responsibilities

• Design, develop, and refine machine learning models using Python and relevant libraries.
• 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 ML outcomes.

Skills

Python

ML frameworks

Model evaluation

Data preprocessing

Remote collaboration

Tools

MongoDB

Cloud deployment

Job description

MIcro1 is seeking a machine learning practitioner to design and refine ML models using Python, with strong experience in scikit-learn, TensorFlow, or PyTorch. You will work on large datasets, leverage MongoDB for data handling, and collaborate across teams to improve models in cloud environments.

The role emphasizes model evaluation, documentation, and robust data preprocessing pipelines, with remote collaboration and impactful data-driven outcomes across projects.