Machine Learning Engineer

Hiring: W2 Candidates Only

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

Experience Required: 6 to 12 years

Level: Mid to Lead positions

Role and responsibilities:

• 6+ years of experience in AI/ML development.
• Strong programming skills in Python (preferred), R, or Java.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn or XGboost.
• Solid understanding of machine learning algorithms and statistical modeling.
• Experience with data manipulation tools (e.g., Pandas, NumPy) and SQL.
• Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and MLOps practices.
• Excellent problem-solving and communication skills.
• Design, implement and optimize machine learning models (supervised, unsupervised, reinforcement learning).
• Work on NLP, computer vision, recommendation systems, and predictive analytics projects.
• Perform feature engineering, data preprocessing, and model selection.
• Collaborate with Data Engineers to acquire and preprocess large datasets.
• Build data pipelines to support training, testing, and deployment of models.
• Ensure data quality, consistency, and reliability.
• Deploy ML models into production environments using CI/CD and MLOps practices.
• Monitor model performance, retrain models, and handle model versioning.
• Optimize inference performance and resource utilization.
• Stay current with the latest ML/AI technologies, frameworks and research.
• Evaluate new algorithms, tools and libraries to improve model performance.
• Experiment with novel approaches to solve complex business problems.
• Work with software engineers, data scientists and product managers to integrate ML solutions into applications.
• Mentor junior engineers and share best practices in ML development and deployment.