Gummidipoondi Chennai Tamil Nadu Genai engineers Jobs – 1 Open Jobs Today

GenAI Engineers
Task Staffing —Thiruvallur District, Tamil Nadu
- ₹10,75,492.73 - ₹35,00,000.00 a year
- Full-time
- Computer Science
- Master's degree
- SQL
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10d

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GenAI Engineers
Task Staffing —Thiruvallur District, Tamil Nadu
We are seeking a Gen AI Engineer to design, build, and deploy generative AI systems that power advanced language, multimodal, and inference applications.
₹10,75,492.73 - ₹35,00,000.00 a year
Quick apply
10d
GenAI Developer
Citi —Chennai, Tamil Nadu
In this hands-on role, you will work under the guidance of senior developers and AI architects to help build retrieval-grounded, context-aware, and increasingly…

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GenAI Engineers

Task Staffing -
Thiruvallur District, Tamil Nadu

Quick apply

Job details

Full-time
₹10,75,492.73 - ₹35,00,000.00 a year
10 days ago

Qualifications

TensorFlow
CI/CD
Computer Science
Kubernetes
Software deployment
NoSQL
Git
Master's degree
SQL
Docker
Bachelor's degree
Machine learning
Continuous integration
REST
Natural language processing
APIs
Electrical Engineering
AI
Python

Full job description

Experience: 5-10 years

Location: Chennai

Interview: Face-to-face

We are seeking a Gen AI Engineer to design, build, and deploy generative AI systems that power advanced language, multimodal, and inference applications. The ideal candidate will combine strong machine learning fundamentals with hands-on experience in large language models, model optimization, and productionization to deliver reliable, scalable, and ethically aligned AI products.

Responsibilities

Architect, develop, and fine-tune generative models for language and multimodal tasks.
Implement training and evaluation pipelines for large language models, including distributed training and data preprocessing.
Apply model optimization techniques such as quantization, pruning, and knowledge distillation to meet latency and cost targets.
Build robust inference services and APIs for model serving, monitoring, and autoscaling in production.
Collaborate with product, design, and research teams to translate requirements into technical solutions and measurable metrics.
Implement MLOps best practices: CI/CD for models, reproducible training, model versioning, and automated testing.
Maintain model performance, fairness, and safety through evaluation frameworks and continuous monitoring.
Document designs, tradeoffs, and runbooks for operational support and knowledge transfer.

Qualifications

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent experience.
Proven experience developing and deploying generative models or large language models in production environments.
Strong software engineering skills with proficiency in Python and model development frameworks.
Experience with distributed training, GPUs, and performance optimization for inference.
Familiarity with cloud platforms, containerization, orchestration, and MLOps tooling.
Excellent problem-solving skills, clear communication, and the ability to work cross-functionally.
Demonstrated commitment to AI safety, fairness, and ethical deployment practices.

Skills

The Gen AI Engineer should be proficient in the following areas and tools to be successful in this role.

Python
PyTorch
TensorFlow
JAX
Hugging Face Transformers
OpenAI API
Large Language Models
Natural Language Processing
Machine Learning
Deep Learning
Prompt Engineering
Model Optimization
Quantization
Reinforcement Learning
MLOps
Docker
Kubernetes
CUDA
Distributed Training
Data Engineering
SQL
NoSQL
Git
CI/CD
RESTful API
Model Evaluation
AI Ethics

Pay: ₹1,075,492.73 - ₹3,500,000.00 per year

Work Location: In person

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