Sr. Computer Vision Engineer
Are you a Computer Vision hero? Then we are looking for you!
Design and implement robust computer vision pipelines for real-world image and video processing tasks. Work across edge and cloud environments to deliver performant, scalable, and production-ready vision systems under real-world constraints.
KEY RESPONSIBILITIES
General responsibilities include:
- Develop and optimise image and video processing pipelines using OpenCV, PyTorch, and TensorFlow.
- Implement deep learning models for object detection, tracking, segmentation, OCR, and pose estimation.
- Build scalable inference systems for edge (Jetson, Coral, mobile) and cloud (AWS, Azure) deployments.
- Design and maintain data pipelines for video ingestion, annotation, augmentation, and model training.
- Integrate vision models into production systems with real-time or near-real-time performance.
- Collaborate with hardware and backend teams to optimise latency, throughput, and memory usage.
- Conduct error analysis and model evaluation using custom metrics and visualisation tools.
- Ensure robustness across lighting, occlusion, motion blur, and domain shifts.
- Contribute to CI/CD pipelines, model versioning, and reproducibility practices.
- Document model architectures, training procedures, and deployment workflows.
EXPERIENCE + QUALIFICATION
- 3-6 years of experience in computer vision and deep learning.
- Strong proficiency in Python and libraries like OpenCV, PyTorch, TensorFlow, and scikit image.
- Experience with real-time video processing, edge deployment, and hardware acceleration (CUDA, TensorRT).
- Solid understanding of CNNs, transformers, and vision-specific architectures (YOLO, Mask R-CNN, SAM).
- Familiarity with MLOps tools (MLflow, Weights & Biases) and model lifecycle management.
- Strong debugging, profiling, and optimisation skills for vision workloads.
- Commitment to code quality, reproducibility, and performance benchmarking
NICE TO HAVES
- Experience with OCR pipelines, document layout analysis, or keypoint-based pose estimation.
- Experience with AWS or Azure for model training and deployment.
- Familiarity with synthetic data generation, augmentation strategies, and domain adaptation techniques.
- Exposure to multi-modal models (e.g., CLIP, DINO) and vision-language alignment.
- Knowledge of camera calibration, lens distortion correction, and photometric consistency.
WORK DETAILS
This is a full-time position, where you’ll be working in a supportive, fast-paced environment with access to learning and development opportunities.
- Type: Full-time, onsite with some remote flexibility
- Schedule: Standard 8 hours, five-days engagement under contract
- Location: Acme AI Ltd, Level 5, House 385, Road 6, Mirpur DOHS, Dhaka 1216
- Salary: BDT 60,000-110,000 (offered based on experience and technical test-result)
BENEFITS
- Competitive salary based on experience
- Festival bonuses
- Access to company health fund (upon eligibility; since health and hospitalisation insurance sucks!)
- Quarterly profit-sharing (upon eligibility)