Tn Ai training computer science Jobs – 213 Open Jobs Today

AI/ML Engineer (Computer Vision)
MulticoreWare —Chennai, Tamil Nadu
- Full-time
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- Master's degree
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Tata Consultancy Services —Chennai, Tamil Nadu
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ZF —Chennai, Tamil Nadu
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AI Developer Internship
mydesignerslook —Nagercoil, Tamil Nadu
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- Full-time
- B.Sc
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Specialist, Data, Analytics & AI - CFCR
Standard Chartered —Chennai, Tamil Nadu
- Master's degree
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AI-Machine Learning Engineer
V support Solutions —Coimbatore, Tamil Nadu
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Judah Code Technologies —Tiruchirappalli, Tamil Nadu
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10d
Ai ML trainer
VIP ACADEMY —Ambattur, Chennai, Tamil Nadu
- ₹9,000 - ₹50,000 a month
- Part-time
- Computer Science
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Software Engineer - AI/ML
KLA —Chennai, Tamil Nadu
- Full-time
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ZF —Chennai, Tamil Nadu
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Uniphore —Chennai, Tamil Nadu
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BSRI Solutions —Chennai, Tamil Nadu
- ₹4,00,000 - ₹8,00,000 a year
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Ai ML trainer
VIP ACADEMY LTDS —Velachery, Chennai, Tamil Nadu
- ₹10,056.68 - ₹41,035.32 a month
- Part-time
- Computer Science
- Master's degree
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- Flexible schedule
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5d
AL Research Scientist - Algorithm
Applied Materials —Chennai, Tamil Nadu
- Full-time
- Doctoral degree
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- Work from home
3d
AI/ML Engineer
KritiLabs Technologies —Chennai, Tamil Nadu
- Computer Science
- Master's degree
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- Health insurance
- Paid time off
AI Engineer
RSN GINFO Solutions —Coimbatore, Tamil Nadu
- Full-time
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AI/ML Engineer (Computer Vision)

MulticoreWare -
Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Image processing
Computer Science
PyTorch
Computer vision
Software deployment
Git
Master's degree
Bachelor's degree
Version control systems
Continuous integration
Deep learning
Natural language processing
Linux
Electrical Engineering
AI
Python

Full job description

Job Information

Department Name

Applied AI & Data Engineering

Job Type

Full time

Industry

Software Development

Date Opened

29/04/2026

Minimum Experience In Years

Maximum Experience In Years

City

Chennai

Province

Tamil Nadu

Country

India

Postal Code

600089

About Us

MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators.

MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently.

We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help.

Job Description

Job Title: AI/ML Engineer (Computer Vision)
Job Location: Chennai
Job Type: Full-Time
Experience: 4+ years

Job Description

We’re looking for a high skilled AI/ML Engineer with strong grounding in deep learning and computer vision systems. The role focuses on building, optimizing, and deploying models that work reliably in real-world environments.
The role will involve data handling, model training with optimization and deployment on edge or production systems. If you also have exposure to NLP, that’s a plus, but the core expectation is solid computer vision expertise.

Responsibilities

Design, train, and evaluate deep learning models for computer vision tasks (classification, detection, segmentation)

• Work with advance CNN architectures and optimize models for performance, latency, and memory (quantization, pruning, fp16, batching strategies) • Handle end-to-end pipelines including data preprocessing, augmentation, training, validation, and testing

Port and deploy models across platforms (CPU, GPU, edge devices using ONNX, TensorRT, TFLite, etc.)
Benchmark models and analyze trade-o s between accuracy, speed, and resource usage
Debug model behavior and improve robustness in real-world scenarios to integrate models into production systems
Maintain clear documentation of experiments, model versions, and performance metrics
Stay updated with advancements in computer vision and applied ML
Design, train, and evaluate deep learning models for computer vision tasks (classification, detection, segmentation)

Port and deploy models across platforms (CPU, GPU, edge devices using ONNX, TensorRT, TFLite, etc.)
Benchmark models and analyze trade-o s between accuracy, speed, and resource usage

• Debug model behavior and improve robustness in real-world scenarios to integrate models into production systems • Maintain clear documentation of experiments, model versions, and performance metrics

Stay updated with advancements in computer vision and applied ML

Requirements

Bachelor’s or Master’s degree in Computer Science, AI, Electrical Engineering, or related field
4+ years of hands-on experience in AI/ML, with strong focus on computer vision
Solid understanding of CNNs and deep learning fundamentals
Strong experience with frameworks like PyTorch or TensorFlow
Good programming skills in Python
Experience with model training, evaluation, and hyperparameter tuning
Practical experience in model optimization techniques (quantization, pruning, distillation)
Knowledge of edge AI constraints and deployment challenges
Experience in model deployment and porting (ONNX, TensorRT, OpenVINO, TFLite, etc.)
Familiarity with Linux environments and basic system-level understanding
Experience with version control systems like Git

Good to Have

Exposure to NLP concepts or transformer-based models
Experience working with multimodal models (vision + text)
Familiarity with CUDA or hardware acceleration techniques
Experience with MLOps practices (experiment tracking, CI/CD for models)

What We’re Looking For

Strong problem-solving mindset with attention to real-world constraints
Ability to go beyond model accuracy and think in terms of system performance
Clear communication and ability to work across teams

Apply Now

Refine Your Search

ai training computer science jobs in tn

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