Data Scientist and ML Engineer: Cognizant AI Agent HUB
Cognizant
Data Scientist and ML Engineer: Cognizant AI Agent HUB
Job Description
Job Description:
Data Scientist and Machine Learning
Exp - 4-12 years
Location - Hyderabad and Chennai
We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM and foundational models for various verticals, such as Banking, Retail, Comms, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies.
Responsibilities:
· Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning.
· Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
· Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
· Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
· Develop and maintain clear and concise documentation of generative AI models, processes, and results.
· Communicate complex concepts and results to both technical and non-technical stakeholders.
· Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.
· Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI.
· Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.
Requirements:
· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
· Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.
· Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
· Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).
· Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.
· Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.
· Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
· Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
· Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.
· Experience with cloud deployments, containerization, and orchestration of AI models.
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
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.
About the Role/Company
- 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
- 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 is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
- Cognizant is consistently listed among the most admired companies in the world
- 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
- Applicants may be required to attend interviews in person or by video conference
- Candidates may be required to present their current state or government issued ID during each interview
Key Responsibilities
- Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow
- Develop and maintain clear and concise documentation of generative AI models, processes, and results
- Communicate complex concepts and results to both technical and non-technical stakeholders
- Provide support and guidance to other team members, and contribute to a positive, collaborative working environment
- Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI
- Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models
- Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
- Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.)
- Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning
- Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies
- Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team
- Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure
- Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI
- Experience with cloud deployments, containerization, and orchestration of AI models
Skills Required
- Artificial Intelligence
- Machine Learning
- Natural Language Processing (NLP)
- Deep Learning
- Generative Models
- Azure OpenAI
- Google Vertex Gen AI
- AWS LLM
- BERT
- Transformers
- PaLM
- Bard
- Python
- TensorFlow
- PyTorch
- Keras
- General Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Reinforcement Learning
- Cloud Computing
- AWS
- Google Cloud
- Azure
- Autogen
- CrewAI
- Cloud Deployments
- Containerization
- Orchestration
Additional Requirements
- -12 years of experience in Data Science and Machine Learning
- Location: Hyderabad and Chennai
Locations
- India
Salary
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Artificial Intelligenceintermediate
- Machine Learningintermediate
- Natural Language Processing (NLP)intermediate
- Deep Learningintermediate
- Generative Modelsintermediate
- Azure OpenAIintermediate
- Google Vertex Gen AIintermediate
- AWS LLMintermediate
- BERTintermediate
- Transformersintermediate
- PaLMintermediate
- Bardintermediate
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Kerasintermediate
- General Adversarial Networks (GANs)intermediate
- Variational Autoencoders (VAEs)intermediate
- Reinforcement Learningintermediate
- Cloud Computingintermediate
- AWSintermediate
- Google Cloudintermediate
- Azureintermediate
- Autogenintermediate
- CrewAIintermediate
- Cloud Deploymentsintermediate
- Containerizationintermediate
- Orchestrationintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (experience)
- Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models (experience)
- Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. (experience)
- Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.) (experience)
- Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning (experience)
- Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies (experience)
- Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team (experience)
- Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure (experience)
- Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI (experience)
- Experience with cloud deployments, containerization, and orchestration of AI models (experience)
Responsibilities
- Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow
- Develop and maintain clear and concise documentation of generative AI models, processes, and results
- Communicate complex concepts and results to both technical and non-technical stakeholders
- Provide support and guidance to other team members, and contribute to a positive, collaborative working environment
- Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI
- Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist and ML Engineer: Cognizant AI Agent HUB @ Cognizant.
Related Books and Jobs
Data Scientist and ML Engineer: Cognizant AI Agent HUB
Cognizant
Data Scientist and ML Engineer: Cognizant AI Agent HUB
Job Description
Job Description:
Data Scientist and Machine Learning
Exp - 4-12 years
Location - Hyderabad and Chennai
We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM and foundational models for various verticals, such as Banking, Retail, Comms, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies.
Responsibilities:
· Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning.
· Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
· Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
· Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
· Develop and maintain clear and concise documentation of generative AI models, processes, and results.
· Communicate complex concepts and results to both technical and non-technical stakeholders.
· Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.
· Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI.
· Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.
Requirements:
· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
· Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.
· Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
· Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).
· Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.
· Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.
· Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
· Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
· Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.
· Experience with cloud deployments, containerization, and orchestration of AI models.
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
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.
About the Role/Company
- 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
- 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 is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
- Cognizant is consistently listed among the most admired companies in the world
- 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
- Applicants may be required to attend interviews in person or by video conference
- Candidates may be required to present their current state or government issued ID during each interview
Key Responsibilities
- Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow
- Develop and maintain clear and concise documentation of generative AI models, processes, and results
- Communicate complex concepts and results to both technical and non-technical stakeholders
- Provide support and guidance to other team members, and contribute to a positive, collaborative working environment
- Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI
- Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models
- Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
- Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.)
- Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning
- Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies
- Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team
- Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure
- Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI
- Experience with cloud deployments, containerization, and orchestration of AI models
Skills Required
- Artificial Intelligence
- Machine Learning
- Natural Language Processing (NLP)
- Deep Learning
- Generative Models
- Azure OpenAI
- Google Vertex Gen AI
- AWS LLM
- BERT
- Transformers
- PaLM
- Bard
- Python
- TensorFlow
- PyTorch
- Keras
- General Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Reinforcement Learning
- Cloud Computing
- AWS
- Google Cloud
- Azure
- Autogen
- CrewAI
- Cloud Deployments
- Containerization
- Orchestration
Additional Requirements
- -12 years of experience in Data Science and Machine Learning
- Location: Hyderabad and Chennai
Locations
- India
Salary
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Artificial Intelligenceintermediate
- Machine Learningintermediate
- Natural Language Processing (NLP)intermediate
- Deep Learningintermediate
- Generative Modelsintermediate
- Azure OpenAIintermediate
- Google Vertex Gen AIintermediate
- AWS LLMintermediate
- BERTintermediate
- Transformersintermediate
- PaLMintermediate
- Bardintermediate
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Kerasintermediate
- General Adversarial Networks (GANs)intermediate
- Variational Autoencoders (VAEs)intermediate
- Reinforcement Learningintermediate
- Cloud Computingintermediate
- AWSintermediate
- Google Cloudintermediate
- Azureintermediate
- Autogenintermediate
- CrewAIintermediate
- Cloud Deploymentsintermediate
- Containerizationintermediate
- Orchestrationintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (experience)
- Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models (experience)
- Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. (experience)
- Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.) (experience)
- Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning (experience)
- Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies (experience)
- Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team (experience)
- Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure (experience)
- Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI (experience)
- Experience with cloud deployments, containerization, and orchestration of AI models (experience)
Responsibilities
- Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow
- Develop and maintain clear and concise documentation of generative AI models, processes, and results
- Communicate complex concepts and results to both technical and non-technical stakeholders
- Provide support and guidance to other team members, and contribute to a positive, collaborative working environment
- Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI
- Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist and ML Engineer: Cognizant AI Agent HUB @ Cognizant.
Related Books and Jobs