onsite
AI/ML Engineer - Virtusa
ML Engineer
AI/ML Engineer focused on building and optimizing machine learning models for natural language and quantitative problems, leveraging Python, NLP techniques, and data science methodologies to deliver high‑impact solutions.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models that solve natural language and quantitative challenges.
- Analyze large datasets, engineer features, and implement data pipelines to support model training and inference.
- Optimize existing models for performance, scalability, and cost efficiency.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
- Document model architecture, experiments, and results for reproducibility and knowledge sharing.
Requirements
- Master’s degree in AI/ML, Data Science, or Computer Science (2025 graduates preferred).
- Proficiency in Python and experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Strong background in natural language processing and data science techniques.
- Ability to optimize models for production environments and manage model lifecycle.
- Legal authorization to work in the United States without sponsorship.
Skills
pythonmachine learningnatural language processing