Work with agent and multi-agent frameworks to build task-specific or collaborative AI systems.
Develop and deploy ML pipelines for training, inference, and evaluation.
Collaborate with cross-functional teams (Product, Data Engineering, DevOps) to integrate ML models into products.
Conduct data preprocessing, exploratory analysis, and feature engineering.
Stay updated with state-of-the-art research in ML/GenAI and apply it to practical problems.
Optimize models for performance, scalability, and efficiency.
Work with APIs like OpenAI, AZURE OpenAI, and others for rapid prototyping and deployment.
Contribute to internal tools and frameworks to support ML experimentation and monitoring.
Required Skills & Qualifications
Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.
3 to 5 years of hands-on experience in Machine Learning and/or NLP projects.
Proficiency in Python and popular ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Practical experience with agent and/or multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, AutoGPT, BabyAGI, etc.) is highly desirable.
Experience working with LLMs (GPT, Claude, etc.).
Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
Strong understanding of data structures, algorithms, and ML concepts.
Experience in deploying models using tools like Docker, FastAPI, Flask, or MLflow.
Experience with vector databases (e.g., PG Vector, Pinecone, Weaviate).
Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow).
Publications or contributions to open-source projects in ML/GenAI.
Familiarity with ethical AI principles and responsible AI practices.
Develop and deploy machine learning models, including supervised and unsupervised learning algorithms, natural language processing, and computer vision applications.
Collect and pre-process large datasets, ensuring data quality and finding recursive features for model training.
Collaborate with data scientists, software engineers, and product managers to understand project requirements and define the scope of machine learning solutions.
Responsible for conducting research and developing cutting-edge machine learning algorithms and models.
Evaluate and optimize machine learning models for performance, scalability, and efficiency.
Implement and maintain APIs for integrating machine learning solutions into web and mobile applications.
Focused on exploring new areas of AI research, proposing novel ideas, and contributing to the development of state-of-the-art AI technologies.
Collaborate in the development of data pipelines and infrastructure to support machine learning workflows.
Participate in code reviews and contribute to the team's best practices and standards.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Proven experience as a Machine Learning Engineer, Data Scientist, or related role. Strong programming skills in Python.
Familiarity with popular machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, or scikit-learn.
In-depth knowledge in storing and retrieving data from vector DB.
Knowledge in Embedding and prompts technique.
Hands-on experience in Open AI and Agentic AI.
Hands-on experience in LLM (LangChain) is more preferable.
Solid understanding of statistical concepts and data analysis techniques.
Experience with classification and clustering algorithms.
Ability to work in a fast-paced environment and handle multiple projects simultaneously.
Excellent problem-solving skills and analytical thinking.
Effective communication and teamwork skills to collaborate with diverse stakeholders.
Preferred Qualifications:
Experience with cloud platforms such as AWS, Azure.
Background in deploying machine learning models as APIs in production environments.
Understanding NLP and text processing techniques.
Additional knowledge on chatGPT/AzureOpenAI is added preference.
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 27,000 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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