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Design, train, and optimize machine learning models using Python frameworks like TensorFlow, PyTorch, Scikit-learn for tasks such as classification, regression, natural language processing (NLP), and computer vision.
Clean, transform, and prepare large datasets for machine learning model training, including feature engineering and data augmentation techniques.
Assess model performance using metrics like accuracy, precision, recall, and F1-score; identify and address overfitting issues, and implement techniques to improve model efficiency.
Develop RESTful APIs to expose trained AI models for integration into other applications or services.
Deploy AI models to production environments using cloud platforms like AWS, Azure, or GCP, including containerization and scaling.
Required Skills:
Expert-level proficiency in Python with a strong understanding of data structures, algorithms, and object-oriented programming.
Deep knowledge of TensorFlow, PyTorch, Scikit-learn, and related libraries for AI development.
Familiarity with data manipulation and visualization libraries like Pandas, NumPy, and Matplotlib.
Experience with cloud platforms like AWS, Azure, or GCP for model training, deployment, and scaling.
Knowledge of version control systems (Git), Agile methodologies, and best practices for software development
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 36,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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