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.

We're hiring Computer Vision Engineer
in Gurugram, Haryana, India

We are seeking a
Computer Vision Software engineer
with a strong foundation in
machine learning, real-time vision systems, and edge deployment optimization
. The ideal candidate will bring 5-8
years of experience
in architecting scalable, production-grade CV solutions with a deep understanding of
image segmentation, object classification, and model acceleration techniques
.

This role involves
designing end-to-end vision pipelines
that operate in
low-latency, constrained environments
, and building
robust perception systems
for
object interaction and classification tasks in structured visual environments
.

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