Machine Learning Engineer

Hiring : W2 Candidates Only

Visa : Open to any visa type with valid work authorization in the USA

Summary

A Machine Learning Engineer is responsible for designing, building, and deploying predictive models and AI-driven solutions that support business objectives. This role focuses on developing scalable machine learning systems, optimizing model performance, and integrating intelligent solutions into production applications.

Key Responsibilities

• Design, develop, and implement machine learning models and AI solutions for real-world business use cases.
• Train, test, and evaluate models using large, complex datasets to ensure accuracy and reliability.
• Collaborate with data scientists, data engineers, and software developers to build end-to-end ML pipelines.
• Optimize algorithms and workflows for performance, scalability, and cost efficiency.
• Deploy machine learning models into production environments using MLOps best practices.
• Monitor model performance, drift, and accuracy; retrain and fine-tune models as needed.
• Build and maintain feature engineering pipelines and data preprocessing workflows.
• Document models, assumptions, architectures, and methodologies for transparency and reproducibility.
• Research, evaluate, and apply emerging machine learning techniques, tools, and frameworks.
• Ensure compliance with ethical AI standards, data privacy policies, and regulatory requirements.
• Integrate ML solutions with enterprise applications, APIs, and cloud platforms.
• Conduct A / B testing and experimentation to validate model effectiveness.
• Troubleshoot model failures and collaborate with engineering teams to resolve production issues.
• Support automation and intelligent decision-making across business processes.
• Provide technical guidance on best practices for developing, deploying, and maintaining ML systems.
• Mentor junior engineers and contribute to team knowledge sharing and innovation.

Qualifications

Preferred Skills / Duties