Vision AI Engineer || Noida and Chennai

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: