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Cognizant logo

AIML Data Scientist

Cognizant

AIML Data Scientist

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Role – AIML Data Scientist
Location: AIA Indore

Exp: 3 to 12 years

Job Description:

1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c. Estimate business impact due to deployment of model

2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch

5. Experience in using Deep learning models with text, speech, image and video data

a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c. Knowledge of State of the art Deep learning algorithms

6. Optimize and tune Deep Learnings model for best possible accuracy

7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8. Work with application teams, in deploying models on cloud as a service or on-prem

a. Deployment of models in Test / Control framework for tracking

b. Build CI/CD pipelines for ML model deployment

9. Integrating AI&ML models with other applications using REST APIs and other connector technologies

10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

· Sufficient expertise in machine learning, mathematical and statistical sciences

· Use of versioning & Collaborative tools like Git / Github

· Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming

· Develop prototype level ideas into a solution that can scale to industrial grade strength

· Ability to quantify & estimate the impact of ML models

·

· Softskills Profile

  • Curiosity to think in fresh and unique ways with the intent of breaking new ground.
  • Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem will be important

· Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

· Keen contributor to open source communities, and communities like Kaggle

· Ability to process Huge amount of Data using Pyspark/Hadoop

· Development & Application of Reinforcement Learning

· Knowledge of Optimization/Genetic Algorithms

· Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios

· Optimize and tune deep learning model for best possible accuracy

· Understanding of stream data processing, RPA, edge computing, AR/VR etc

· Appreciation of digital ethics, data privacy will be important

· Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus

· Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

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
  • 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

Key Responsibilities

  • Apply Machine Learning & Deep Learning algorithms to solve business challenges
  • Use a wide variety of AI/ML techniques and algorithms to find the best solution
  • Improve Model accuracy to deliver greater business impact
  • Estimate business impact due to deployment of model
  • Work with domain/customer teams to understand business context, data dictionaries and apply relevant Deep Learning solution
  • Pre-process data & feature engineering for model development using Python / R / SQL / Cloud data pipelines
  • Design, develop & deploy Deep learning models using Tensorflow / Pytorch
  • Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
  • Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
  • Optimize and tune Deep Learnings model for best possible accuracy
  • Use visualization tools/modules to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
  • Work with application teams to deploy models on cloud as a service or on-prem
  • Deployment of models in Test / Control framework for tracking
  • Build CI/CD pipelines for ML model deployment
  • Integrate AI&ML models with other applications using REST APIs and other connector technologies
  • Constantly upskill and update with the latest techniques and best practices
  • Write white papers and create demonstrable assets to summarize the AIML work and its impact

Required Qualifications

  • Sufficient expertise in machine learning, mathematical and statistical sciences
  • Use of versioning & Collaborative tools like Git / Github
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
  • Ability to quantify & estimate the impact of ML models

Preferred Qualifications

  • Keen contributor to open source communities, and communities like Kaggle
  • Ability to process Huge amount of Data using Pyspark/Hadoop
  • Development & Application of Reinforcement Learning
  • Knowledge of Optimization/Genetic Algorithms
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc
  • Appreciation of digital ethics, data privacy
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc

Skills Required

  • Machine Learning
  • Deep Learning
  • Python
  • R
  • SQL
  • Cloud data pipelines
  • Tensorflow
  • Pytorch
  • NLP
  • Spacy
  • OpenCV
  • Power BI
  • Tableau
  • REST APIs
  • Git
  • Github

Additional Requirements

  • to 12 years of experience
  • Curiosity to think in fresh and unique ways with the intent of breaking new ground
  • Ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem
  • Ability to communicate key messages effectively, and articulate strong opinions in large forums

Locations

  • India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

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

  • Machine Learningintermediate
  • Deep Learningintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Cloud data pipelinesintermediate
  • Tensorflowintermediate
  • Pytorchintermediate
  • NLPintermediate
  • Spacyintermediate
  • OpenCVintermediate
  • Power BIintermediate
  • Tableauintermediate
  • REST APIsintermediate
  • Gitintermediate
  • Githubintermediate

Required Qualifications

  • Sufficient expertise in machine learning, mathematical and statistical sciences (experience)
  • Use of versioning & Collaborative tools like Git / Github (experience)
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming (experience)
  • Ability to quantify & estimate the impact of ML models (experience)

Preferred Qualifications

  • Keen contributor to open source communities, and communities like Kaggle (experience)
  • Ability to process Huge amount of Data using Pyspark/Hadoop (experience)
  • Development & Application of Reinforcement Learning (experience)
  • Knowledge of Optimization/Genetic Algorithms (experience)
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios (experience)
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc (experience)
  • Appreciation of digital ethics, data privacy (experience)
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud (experience)
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc (experience)

Responsibilities

  • Apply Machine Learning & Deep Learning algorithms to solve business challenges
  • Use a wide variety of AI/ML techniques and algorithms to find the best solution
  • Improve Model accuracy to deliver greater business impact
  • Estimate business impact due to deployment of model
  • Work with domain/customer teams to understand business context, data dictionaries and apply relevant Deep Learning solution
  • Pre-process data & feature engineering for model development using Python / R / SQL / Cloud data pipelines
  • Design, develop & deploy Deep learning models using Tensorflow / Pytorch
  • Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
  • Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
  • Optimize and tune Deep Learnings model for best possible accuracy
  • Use visualization tools/modules to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
  • Work with application teams to deploy models on cloud as a service or on-prem
  • Deployment of models in Test / Control framework for tracking
  • Build CI/CD pipelines for ML model deployment
  • Integrate AI&ML models with other applications using REST APIs and other connector technologies
  • Constantly upskill and update with the latest techniques and best practices
  • Write white papers and create demonstrable assets to summarize the AIML work and its impact

Target Your Resume for "AIML Data Scientist" , Cognizant

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Cognizant logo

AIML Data Scientist

Cognizant

AIML Data Scientist

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Role – AIML Data Scientist
Location: AIA Indore

Exp: 3 to 12 years

Job Description:

1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c. Estimate business impact due to deployment of model

2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch

5. Experience in using Deep learning models with text, speech, image and video data

a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c. Knowledge of State of the art Deep learning algorithms

6. Optimize and tune Deep Learnings model for best possible accuracy

7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8. Work with application teams, in deploying models on cloud as a service or on-prem

a. Deployment of models in Test / Control framework for tracking

b. Build CI/CD pipelines for ML model deployment

9. Integrating AI&ML models with other applications using REST APIs and other connector technologies

10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

· Sufficient expertise in machine learning, mathematical and statistical sciences

· Use of versioning & Collaborative tools like Git / Github

· Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming

· Develop prototype level ideas into a solution that can scale to industrial grade strength

· Ability to quantify & estimate the impact of ML models

·

· Softskills Profile

  • Curiosity to think in fresh and unique ways with the intent of breaking new ground.
  • Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem will be important

· Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

· Keen contributor to open source communities, and communities like Kaggle

· Ability to process Huge amount of Data using Pyspark/Hadoop

· Development & Application of Reinforcement Learning

· Knowledge of Optimization/Genetic Algorithms

· Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios

· Optimize and tune deep learning model for best possible accuracy

· Understanding of stream data processing, RPA, edge computing, AR/VR etc

· Appreciation of digital ethics, data privacy will be important

· Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus

· Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

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
  • 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

Key Responsibilities

  • Apply Machine Learning & Deep Learning algorithms to solve business challenges
  • Use a wide variety of AI/ML techniques and algorithms to find the best solution
  • Improve Model accuracy to deliver greater business impact
  • Estimate business impact due to deployment of model
  • Work with domain/customer teams to understand business context, data dictionaries and apply relevant Deep Learning solution
  • Pre-process data & feature engineering for model development using Python / R / SQL / Cloud data pipelines
  • Design, develop & deploy Deep learning models using Tensorflow / Pytorch
  • Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
  • Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
  • Optimize and tune Deep Learnings model for best possible accuracy
  • Use visualization tools/modules to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
  • Work with application teams to deploy models on cloud as a service or on-prem
  • Deployment of models in Test / Control framework for tracking
  • Build CI/CD pipelines for ML model deployment
  • Integrate AI&ML models with other applications using REST APIs and other connector technologies
  • Constantly upskill and update with the latest techniques and best practices
  • Write white papers and create demonstrable assets to summarize the AIML work and its impact

Required Qualifications

  • Sufficient expertise in machine learning, mathematical and statistical sciences
  • Use of versioning & Collaborative tools like Git / Github
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
  • Ability to quantify & estimate the impact of ML models

Preferred Qualifications

  • Keen contributor to open source communities, and communities like Kaggle
  • Ability to process Huge amount of Data using Pyspark/Hadoop
  • Development & Application of Reinforcement Learning
  • Knowledge of Optimization/Genetic Algorithms
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc
  • Appreciation of digital ethics, data privacy
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc

Skills Required

  • Machine Learning
  • Deep Learning
  • Python
  • R
  • SQL
  • Cloud data pipelines
  • Tensorflow
  • Pytorch
  • NLP
  • Spacy
  • OpenCV
  • Power BI
  • Tableau
  • REST APIs
  • Git
  • Github

Additional Requirements

  • to 12 years of experience
  • Curiosity to think in fresh and unique ways with the intent of breaking new ground
  • Ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem
  • Ability to communicate key messages effectively, and articulate strong opinions in large forums

Locations

  • India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

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

  • Machine Learningintermediate
  • Deep Learningintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Cloud data pipelinesintermediate
  • Tensorflowintermediate
  • Pytorchintermediate
  • NLPintermediate
  • Spacyintermediate
  • OpenCVintermediate
  • Power BIintermediate
  • Tableauintermediate
  • REST APIsintermediate
  • Gitintermediate
  • Githubintermediate

Required Qualifications

  • Sufficient expertise in machine learning, mathematical and statistical sciences (experience)
  • Use of versioning & Collaborative tools like Git / Github (experience)
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming (experience)
  • Ability to quantify & estimate the impact of ML models (experience)

Preferred Qualifications

  • Keen contributor to open source communities, and communities like Kaggle (experience)
  • Ability to process Huge amount of Data using Pyspark/Hadoop (experience)
  • Development & Application of Reinforcement Learning (experience)
  • Knowledge of Optimization/Genetic Algorithms (experience)
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios (experience)
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc (experience)
  • Appreciation of digital ethics, data privacy (experience)
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud (experience)
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc (experience)

Responsibilities

  • Apply Machine Learning & Deep Learning algorithms to solve business challenges
  • Use a wide variety of AI/ML techniques and algorithms to find the best solution
  • Improve Model accuracy to deliver greater business impact
  • Estimate business impact due to deployment of model
  • Work with domain/customer teams to understand business context, data dictionaries and apply relevant Deep Learning solution
  • Pre-process data & feature engineering for model development using Python / R / SQL / Cloud data pipelines
  • Design, develop & deploy Deep learning models using Tensorflow / Pytorch
  • Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
  • Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
  • Optimize and tune Deep Learnings model for best possible accuracy
  • Use visualization tools/modules to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
  • Work with application teams to deploy models on cloud as a service or on-prem
  • Deployment of models in Test / Control framework for tracking
  • Build CI/CD pipelines for ML model deployment
  • Integrate AI&ML models with other applications using REST APIs and other connector technologies
  • Constantly upskill and update with the latest techniques and best practices
  • Write white papers and create demonstrable assets to summarize the AIML work and its impact

Target Your Resume for "AIML Data Scientist" , Cognizant

Get personalized recommendations to optimize your resume specifically for AIML Data Scientist. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AIML Data Scientist" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

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