Gen AI Engineer

TymblHub; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Cognizant is seeking a Gen AI Engineer to solve business challenges using ML/DL, NLP, and computer vision. You will work with Python, R, SQL, and cloud data pipelines to build, validate, and deploy deep learning models across text, image, and video data.

Strong collaboration with domain teams and a focus on scalable AI solutions are expected.

Qualifications

• Sufficient expertise in machine learning, mathematical and statistical sciences.
• Use of versioning & Collaborative tools like Git / Github.

Responsibilities

• Be a hands-on problem solver with a consultative approach, applying ML & DL algorithms to business challenges.
• Improve model accuracy to deliver greater business impact.
• Deploy models in cloud or on-prem environments and build ML CI/CD pipelines.
• Collaborate with domain teams to understand data context and feature engineering requirements.
• Develop NLP models for text classification, entity recognition, and semantic search.

Skills

Machine learning

Deep learning

Python

R

SQL

Cloud data pipelines

TensorFlow

PyTorch

NLP

Spacy

OpenCV

Git / Github

Power BI / Tableau

Pyspark / Hadoop

Education

Bachelors in CS/SE/Math/Stats

Tools

TensorFlow

PyTorch

OpenCV

Spacy

Azure ML

AWS SageMaker

Google Cloud

Job description

# Gen AI EngineerCognizantPosted on October 10, 2026---Job LocationChennai, IndiaVacancy1DesignationAI EngineerJob TypeONSITE---## Job Description## Job Summary**Role:** Gen AI Engineer**Location:** Pan India**Notice Period:** Immediate to 90 days**Mode of Interview:** In Person Chennai## Key Responsibilities* Be a hands-on problem solver with a consultative approach, who can apply **Machine Learning** & **Deep Learning** algorithms to solve business challenges.* Use the knowledge of a 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** solutions for the given business challenge.* Work with tools and scripts for sufficiently pre-processing the data & feature engineering for model development using **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 open-source **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 Learning models** for best possible accuracy.* Use visualization tools/modules to be able to explore and analyze outcomes & for model validation, e.g., 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.## Requirements### Technology/Subject Matter Expertise* Sufficient expertise in **machine learning**, mathematical and statistical sciences.* Use of versioning & Collaborative tools like **Git** / **Github**.* Good understanding of the 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**.## Soft Skills* 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 amounts of data using **Pyspark** / **Hadoop**.* Development & Application of **Reinforcement Learning**.* Knowledge of **Optimization/Genetic Algorithms**.* Operationalizing **Deep learning models** for a customer and understanding nuances of scaling such models in real scenarios.* Optimize and tune **deep learning models** for best possible accuracy.* Understanding of **stream data processing**, **RPA**, **edge computing**, **AR/VR**, etc.* Appreciation of digital ethics and 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 **DataRobot**, **Cognitive Scale**, **H2O.AI**, etc., will all be a big plus.