Gen Ai

7 days ago

Chennai Tamil Nadu, India Virtusa Full time

Generative AI & Large Language Models:
Fine-tune and optimize pre-trained models for specific business use cases.
Implement Reinforcement Learning with Human Feedback (RLHF) to improve model performance and user interaction quality.
Model Development & Fine-Tuning:
Design and develop vision models and multi-agent systems.
Conduct prompt engineering to improve language models' accuracy and response relevance.
AI Systems & Applications:
Machine Learning & Deep Learning:
Develop and deploy machine learning models for various tasks, including regression, classification, and neural networks.
Build and optimize deep learning models to solve complex problems across industries.
Cloud AI Deployment:
Deploy machine learning models at scale using AWS SageMaker and AWS Bedrock for efficient model training and inference.
Collaborate with cloud engineers to ensure seamless integration with cloud infrastructure and services.
Collaboration & Documentation:
Work closely with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders.
Maintain thorough documentation of AI models, training procedures, model versions, and deployment processes.
Mentor junior engineers and data scientists, sharing expertise in AI/ML technologies and best practices.
Familiarity with crewAI, Comet for AI model tracking and collaboration.
Experience in working with MongoDB or other NoSQL databases to store model-related data.
Understanding of multi-agent systems and how they can be used for distributed problem-solving.
Knowledge of AWS Lambda and API Gateway for serverless deployment of AI models.
Generative AI & LLMs:
Experience with large language models like ChatGPT, FlanT-5, Llama, and Cohere.
Hands-on experience with Reinforcement Learning with Human Feedback (RLHF) techniques.
Machine Learning & Deep Learning:
Strong foundation in machine learning techniques such as regression and classification.
Experience working with neural networks and deep learning models (CNNs, RNNs, Transformers).
Familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch).
AI Frameworks & Libraries:
Experience with Langchain, Hugging Face, and other frameworks for building and deploying AI models.
Experience in implementing RAG (retrieval-augmented generation) for more informative and accurate responses from models.
Cloud Platforms o Expertise in using AWS SageMaker for model training, hyperparameter tuning, and deployment.

**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 30,000 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 was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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