Vision AI Engineer || Noida and Chennai

8 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

HCLTech is hiring Vision AI Engineer for Noida/Chennai location.


About HCLTech:

HCLTech is a global technology company, home to more than 218,000 people across 59 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2024 totaled $13.7 billion. To learn how we can supercharge progress for you, visit hcltech.com.


The dedicated business unit – “AIoT & Industrial AI” leads the Industrial AI and (A)IoT Business end-to-end for HCL Technologies including overall product direction, new business models, ecosystem and pioneer customer engagements in partnership with Engineering and Application Services. We have a unique opportunity in the area of Industrial AI & IoT platform and services where HCL Technologies can lead business model transformations for customers.


Overall Experience:

Location:

Notice Period


Role Overview

Senior Computer Vision Developer


Experience Required

  • 5–8 years of experience in AI/ML engineering, with

    3+ years specialized in Computer Vision

    .
  • Hands-on deployment of

    vision models in production environments

    (edge or cloud).
  • Proven experience in

    optimizing models for real-time inference

    .
  • Strong track record of building

    vision AI solutions for real-world use cases

    (retail, healthcare, manufacturing, autonomous systems, surveillance, etc.).


Key Responsibilities

  • Model Development & Training

  • Implement and fine-tune

    state-of-the-art computer vision models

    for object detection, classification, segmentation, OCR, pose estimation, and video analytics.
  • Apply

    transfer learning, self-supervised learning, and multimodal fusion

    to accelerate development.
  • Experiment with

    generative vision models

    (GANs, Diffusion Models, ControlNet) for synthetic data augmentation and creative tasks.
  • Vision System Engineering

  • Develop and optimize

    vision pipelines

    from raw data preprocessing → training → inference → deployment.
  • Build

    real-time vision systems

    for video streams, edge devices, and cloud platforms.
  • Implement

    OCR and document AI

    for text extraction, document classification, and layout understanding.
  • Integrate vision models into

    enterprise applications

    via REST/gRPC APIs or microservices.
  • Optimization & Deployment

  • Optimize models for

    low-latency, high-throughput inference

    using ONNX, TensorRT, OpenVINO, CoreML.
  • Deploy models on

    cloud (AWS/GCP/Azure)

    and

    edge platforms (NVIDIA Jetson, Coral, iOS/Android)

    .
  • Benchmark models for

    accuracy vs performance trade-offs

    across hardware accelerators.
  • Data & Experimentation

  • Work with

    large-scale datasets

    (structured/unstructured, multimodal).
  • Implement

    data augmentation, annotation pipelines, and synthetic data generation

    .
  • Conduct rigorous experimentation and maintain

    reproducible ML workflows

    .


Required Skills & Qualifications

  • Programming:

    Expert in Python; strong experience with C++ for performance-critical components.
  • Deep Learning Frameworks:

    PyTorch, TensorFlow, Keras.
  • Computer Vision Expertise:

  • Detection & Segmentation:

    YOLO (v5–v8), Faster/Mask R-CNN, RetinaNet, Detectron2, MMDetection, Segment Anything.
  • Vision Transformers:

    ViT, Swin, DeiT, ConvNeXt, BEiT.
  • OCR & Document AI:

    Tesseract, PaddleOCR, TrOCR, LayoutLM/Donut.
  • Video Understanding:

    SlowFast, TimeSformer, action recognition models.
  • 3D Vision:

    PointNet, PointNet++, NeRF, depth estimation.
  • Generative AI for Vision:

    Stable Diffusion, StyleGAN, DreamBooth, ControlNet.
  • MLOps Tools:

    MLflow, Weights & Biases, DVC, Kubeflow.
  • Optimization Tools:

    ONNX Runtime, TensorRT, OpenVINO, CoreML, quantization/pruning frameworks.
  • Deployment:

    Docker, Kubernetes, Flask/FastAPI, Triton Inference Server.
  • Data Tools:

    OpenCV, Albumentations, Label Studio, FiftyOne.


Interested candidates, kindly share their resume on paridhnya_dhawankar@hcltech.com with below details:


Overall Experience:

Relevant Exp with Vision AI:

Notice Period:

Current and Expected CTC:

Current and Preferred Location:

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
HCLTech logo
HCLTech

Information Technology Services

New Delhi

RecommendedJobs for You