Machine Learning Engineer

Hiring: W2 Candidates Only

Location: USA

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

Experience Required: 6 to 10 years

Level: Mid to Lead positions

Job Summary

We are seeking a highly skilled Machine Learning Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in data science, programming, and algorithm development, with experience in production-level implementation.

Key Responsibilities

• Design, build, and optimize machine learning models and pipelines.
• Work with large, complex datasets to extract insights and support data-driven decisions.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Research and apply state-of-the-art ML and deep learning techniques to solve business problems.
• Monitor and retrain models for performance and accuracy.
• Document processes, models, and results clearly for technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or related field.
• Strong proficiency in Python, R, or Java; experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of algorithms, statistics, and data structures.
• Hands-on experience with NLP, computer vision, recommendation systems, or predictive modeling.
• Knowledge of cloud platforms (AWS, Google Cloud Platform, Azure) and ML Ops practices.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with big data tools (Spark, Hadoop).
• Knowledge of reinforcement learning, generative AI, or LLMs.
• Familiarity with CI/CD for ML pipelines.
• Published research or contributions to open-source ML projects.