Cognizant is hiring a Gen AI Engineer to develop and optimize multimodal foundation models and large-scale language models. You will be responsible for building and deploying AI applications on cloud platforms and integrating AI models with company data to enhance existing applications.
What You'll Do
- Collect and prepare data for training and evaluating multimodal foundation models, involving cleaning, processing text data, or creating synthetic data.
- Develop and optimize large-scale language models like GANs and VAEs.
- 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.
- 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 maintain 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.
What We're Looking For
- 5 to 14 years of relevant experience.
- Strong foundation in machine learning, deep learning, and computer science.
- Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
- Knowledge of advanced programming like Python, and AI-centric libraries like TensorFlow, PyTorch, and Keras.
- Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT models.
- Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data.
- 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.
Nice to Have
- Experience with natural language processing (NLP) and computer vision is a plus.
Technical Stack
- Languages: Python, .NET
- Frameworks/Libraries: TensorFlow, PyTorch, Keras, OpenAI
- Infrastructure: Docker, Kubernetes, AWS, Azure, GCP
Team & Environment
You will collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
Work Mode
This role is based locally in Bangalore.
Cognizant is an equal opportunity employer.
