Role –Gen AI Engineer
Location: AIA-Pune
Exp: 3 to 12 years

Job Description:

Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS.
Integrate AI models with our company's data to enhance and augment existing applications.

Role & Responsibility

Handle data preprocessing, augmentation, and generation of synthetic data.
Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
Develop and Maintaining AI Pipelines
Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
Ensure the robustness, efficiency, and scalability of AI systems.
Stay updated with the latest advancements in AI and machine learning technologies.

Skills & Experience

· Strong foundation in machine learning, deep learning, and computer science.

· Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).

· Experience with natural language processing (NLP) and computer vision is a plus.

· Ability to work independently and as part of a team.

· Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.

· Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.

· Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.

· Experience in developing and deploying AI models in production environments.

Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions
Should be able to bring new ideas and innovative solutions to our clients

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer: 
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable 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.