Computer Vision Engineer

About Company,

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

in Gurugram, Haryana, India

Computer Vision Software engineer

designing end-to-end vision pipelines

Key Responsibilities

Model Development & Optimization

• Implement deep learning models for

  object detection, instance segmentation, and classification

  in structured visual domains.
• Develop and optimize models for

  real-time inference

  on

  edge devices

  using tools like

  TensorRT

  ,

  ONNX

  ,

  NVIDIA Jetson

  , and

  CUDA

  .
• Apply advanced techniques for

  model compression

  ,

  quantization

  , and

  pruning

  to meet performance constraints.

System Architecture

• Design and own the entire

  computer vision pipeline

  : from

  camera capture to final inference output

  .
• Ensure

  low-latency performance

  , particularly on

  embedded or GPU-powered edge hardware

  .
• Benchmark and profile model performance using tools like

  NVIDIA Nsight

  ,

  trtexec

  , or

  custom profilers

  .

Data Engineering & Image Processing

• Drive dataset curation, augmentation, and labeling strategies for diverse object classes.
• Develop efficient

  preprocessing and postprocessing pipelines

  , including noise reduction, image enhancement, and perspective correction.

Deployment & Productionization

• Integrate models into production environments with CI/CD and

  ML Ops pipelines

  .
• Ensure secure, efficient, and fault-tolerant deployment of models on embedded systems or cloud-edge hybrids.

Research & Innovation

• Stay current with the latest trends in

  deep learning

  ,

  vision transformers

  ,

  diffusion models

  , and

  real-time inference

  .
• Evaluate research papers and contribute to internal innovation through

  POCs and rapid prototyping

  .

Required Skills & Experience

• 3-6 years

  of industry experience in

  computer vision and machine learning

  , with at least 3–5 years in an

  architect or technical leadership

  role.
• Expert in

  Python

  , with strong experience in

  OpenCV

  ,

  PyTorch

  , and/or

  TensorFlow

  .
• Strong grasp of

  deep learning concepts

  : CNNs, attention mechanisms, image segmentation, small-object detection.
• In-depth knowledge of

  image processing

  , perspective warping, homography, and visual tracking.
• Hands-on experience with

  model optimization and deployment

  using

  TensorRT

  ,

  ONNX

  ,

  CUDA

  , and

  Jetson platforms

  .
• Proficient in tools like

  Docker

  ,

  Git

  , and

  MLFlow

  or other model tracking/versioning frameworks.
• Solid foundation in

  linear algebra, calculus, probability, and statistics

  .
• Demonstrated experience in building

  CV systems for real-time applications

  , especially on

  edge hardware

  .

Preferred Qualifications

• Prior experience developing perception systems for structured, rule-based environments (e.g., card games, tabletop detection, automated gameplay, etc.)
• Knowledge of

  hardware-aware training

  ,

  mixed-precision inference

  , or

  vision transformers

• Experience with

  C++/CUDA kernels

  for custom ops or performance enhancement
• Published papers, patents, or open-source contributions in the CV/ML space

Soft Skills

• Strong

  problem-solving

  mindset and ability to work in

  ambiguous, fast-paced

  environments
• Excellent

  communication

  and

  technical documentation

  skills
• Ability to

  mentor

  junior engineers and

  collaborate

  across disciplines

Bonus Tools / Stack Exposure

• TensorRT, ONNX, Jetson Nano/Xavier, NVIDIA Nsight
• DeepStream SDK, OpenVINO
• FastAPI / Flask for exposing inference APIs
• GStreamer, FFmpeg for video pipeline optimization
• DVC, ClearML, or similar experiment tracking tools

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment