Virtusa is hiring | AI / ML Engineer | upto 6 lpa | Apply here!

About VirtusaTeamwork, 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.


1. Develop and deploy machine learning models, including supervised and unsupervised learning algorithms, natural language processing, and computer vision applications.

2. Collect and pre-process large datasets, ensuring data quality and find recursive feature for model training.

3. Collaborate with data scientists, software engineers, and product managers to understand project requirements and define the scope of machine learning solutions.

4. Responsible for conducting research and developing cutting-edge machine learning algorithms and models.

5. Evaluate and optimize machine learning models for performance, scalability, and efficiency.

6. Implement and maintain APIs for integrating machine learning solutions into web and mobile applications.

7. Focused on exploring new areas of AI research, proposing novel ideas, and contributing to the development of state-of-the-art AI technologies

8. Collaborate in the development of data pipelines and infrastructure to support machine learning workflows.

9. Participate in code reviews and contribute to the team’s best practices and standards.


1. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

2. Proven experience as a Machine Learning Engineer, Data Scientist, or related role.

Strong programming skills in Python.

3. Familiarity with popular machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, or scikit-learn.

4. In-depth knowledge in storing and retrieving data from vector DB.

5. Knowledge in Embedding and prompts technique.

6. Hands on experience in Open AI is an added advantage.

7. Hands on experience in LLM(LangChain) is more preferable.

8. Solid understanding of statistical concepts and data analysis techniques.

9. Experience with classification and clustering algorithm.

10. Ability to work in a fast-paced environment and handle multiple projects simultaneously.

11. Excellent problem-solving skills and analytical thinking.

12. Effective communication and teamwork skills to collaborate with diverse stakeholders.

Preferred Qualifications:

1. Experience with cloud platforms such as AWS, Azure.

2. Background in deploying machine learning models as APIs in production environments.

3. Understanding NLP and text processing technique

4. Additional knowledge on chatGPT/AzureOpenAI is added preference.