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Cognizant
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Unknown · São Paulo, Brazil
31 open roles4 posted in 7d31 in 30d
Work-life balance 4.4Compensation & benefits 4.3Culture & values 4.3
Hiring: Engineering
What employees say
+ Initiative the works to develop technical knowledge
− There is no time consumption
More reviews on the company profile.
Interview experience · Jr.Software Engineer
1)2Technical round (Based on Technical Skill ,Two Coding based Question,SQL) 2)Hr discussion (if selected ) Cognizant helps companies modernize technology, reimagine processes and transform experiences so they stay ahe
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
Role – AIML Data Scientist
Responsibilities
- Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
- Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
- Improve Model accuracy to deliver greater business impact
- Estimate business impact due to deployment of model
- Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
- Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
- Design , develop & deploy Deep learning models using Tensorflow / Pytorch
- Experience in using Deep learning models with text, speech, image and video data
- 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
- Knowledge of State of the art Deep learning algorithms
- Optimize and tune Deep Learnings model for best possible accuracy
- Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
- Work with application teams, in deploying 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
- Integrating 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.
- 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:
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Job application FAQ
Last updated 25 October 2026
- How do I apply for AIML Data Scientist at Cognizant?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cognizant may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AIML Data Scientist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AIML Data Scientist remote or on-site in Kochi, Keralam?
- This listing is marked on_site with location Kochi, Keralam. Confirm details on the job description before applying.
- What skills matter for this AIML Data Scientist role at Cognizant?
- This is a mid-level AIML Data Scientist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.