Machine Learning Engineer
Crossing HurdlesAbout the role
Position: Machine Learning Engineer
Type: Contract
Compensation: $80 - $140/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
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.
Requirements
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.
Application Process
Easy Apply on LinkedIn
Check email for next steps
Participate in resume evaluation & interview stage
Responsibilities
- Design, develop, and refine machine learning models using Python and relevant libraries
- Analyze large datasets and leverage MongoDB for model training and validation
- Collaborate with cross-functional contributors for model improvement
- Conduct thorough model evaluation and tuning hyperparameters
- Document methodologies, experiments, and outcomes
- Integrate data pipelines and preprocessing workflows
- Deliver actionable insights based on data-driven findings
Qualifications
- Demonstrated expertise with Python and machine learning frameworks
- Hands-on experience with MongoDB for data manipulation
- Strong problem-solving skills and innovative ML solutions
- Understanding of model evaluation metrics and data preprocessing techniques
- Background in deploying machine learning models in cloud environments
- Clear written documentation and communication skills
- Ability to adapt quickly to evolving project requirements
Skills mentioned
About Crossing Hurdles
Crossing Hurdles connects skilled professionals with opportunities across leading AI training platforms and high-growth companies. As global demand for human input in AI development continues to grow, many platforms rely on large networks of capable contributors across technical, analytical, and knowledge-based domains. Crossing Hurdles helps professionals discover and access these opportunities by bringing together information, talent networks, and application pathways related to AI model training, evaluation, and emerging AI-enabled work. Through our growing community of candidates and professionals, we help individuals explore opportunities with global AI platforms that are building and improving next-generation AI systems. These opportunities often span areas such as technical analysis, research, reasoning tasks, and other knowledge-driven work that supports the development of modern AI models. Alongside the AI ecosystem, Crossing Hurdles also works with high-growth companies to support talent discovery across key business functions. We collaborate with founders, leadership teams, and hiring managers to help them connect with capable professionals for full-time roles across both on-site and remote teams. Over the past few quarters, we have partnered with companies including Angel One, Ixigo, Cars24, Veera, ABP Network, Battery Smart, Zavya, and Twin Engineers, supporting hiring initiatives across multiple sectors. Key areas of focus • Opportunities across AI training and evaluation platforms • Technology & Product roles • Growth, Marketing & Sales • Customer Success & Support • Finance & Business Operations By bringing together talent networks, industry insights, and emerging opportunities across AI and high-growth companies, Crossing Hurdles aims to help capable professionals discover meaningful work while supporting organizations in reaching the talent they need to grow.