Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Gen AI Engineer @ Cognizant

Home > Data Science & Machine Learning

 Gen AI Engineer

Job Description

Role: Gen AI Engineer

Experience: 8yr to 15 yr

Location: PAN India

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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Cognizant
Location(s): Hyderabad

+ View Contactajax loader


Keyskills:   Generative Ai Tools Artificial Intelligence Ai Platform

 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Business Intel Engineer II, Amazon

  • Amazon
  • 3 - 8 years
  • Hyderabad
  • 2 days ago
₹ Not Disclosed

AI / ML Engineer

  • Accenture
  • 2 - 5 years
  • Mumbai
  • 5 days ago
₹ Not Disclosed

Associate, Ml Data Operations, Go-ai Operations

  • Amazon
  • 0 - 4 years
  • Hyderabad
  • 10 days ago
₹ Not Disclosed

Business Intel Engineer I, Aop (level 4), Aop

  • Amazon
  • 2 - 7 years
  • Hyderabad
  • 10 days ago
₹ Not Disclosed

Cognizant

Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and solutions that serve a wide range of market participants, including individual and institutional investors in public and priv...