Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in hyderabad
>
Cognizant
>
Senior Gen AI Engineer

Senior Gen AI Engineer

Cognizant

3 - 7 years

0 Lacs

hyderabad telangana

Posted:2 days ago| Platform: Shine logo

Apply

Skills Required

machine learning deep learning computer science transformers natural language processing nlp computer vision python data management cloud services aws azure gcp docker kubernetes generative ai models gans vaes tensorflow pytorch keras text generation projects gpt models

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Gen AI Engineer, your role involves collecting and preparing data for training and evaluating multimodal foundation models. This includes cleaning and processing text data or creating synthetic data. You will be developing and optimizing large-scale language models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Tasks will also include working on language modeling, text generation, understanding, and contextual comprehension. It is essential to regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Additionally, you will be responsible for building and deploying AI applications on cloud platforms such as Azure, GCP, or AWS. Integration of AI models with the company's data to enhance and augment existing applications is also part of your responsibilities. Key Responsibilities: - Handle data preprocessing, augmentation, and generation of synthetic data. - Design and develop backend services using Python 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. Qualifications Required: - 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 clients.,

More Jobs at Cognizant

Workday: Walk-in drive 10th May Pune with CTS(Full time)

Pune, Mumbai (All Areas)

3 - 8 yrs

INR 7 - 17 Lacs

Java Full Stack Developer

Chennai

5 - 10 yrs

INR 10 - 20 Lacs

Walkin For Freshers @hyderabad

Hyderabad

Experience: Not specified

INR 0 - 2 Lacs

React JS Developer

Hyderabad

2 - 7 yrs

INR 9 - 14 Lacs

Java Developer

Bengaluru

5 - 10 yrs

INR 15 - 30 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Machine Learning Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Cognizant

IT Services and IT Consulting

Teaneck New Jersey

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Senior Gen AI Engineer