Computer Vision Engineer

Job Description

Title: Computer Vision Engineer

Company Name: AlterSense Limited

Vacancy: 1

Age: 27 to 35 years

Job Location: Dhaka (Tejgaon)

Salary: Negotiable

Experience:

• 2 to 4 years
• The applicants should have experience in the following business area(s): IT Enabled Service, Artificial Intelligence (AI) Startup

• Master of Science (MSc) in Computer Science & Engineering
• Bachelor of Science (BSc) in Electrical & Electronic Engineering
• Master of Science (MSc) in Computer Science & Engineering

• Prior work on large-scale video understanding or vision transformer architectures.·  
• Experience with low-level performance optimization (CUDA, ONNX Runtime, TensorRT).·    
• Contribution to open-source projects in vision or model optimization.·       
• Understanding of dataset bias, domain adaptation, and generalization techniques.

• 2 to 4 years
• The applicants should have experience in the following business area(s): IT Enabled Service, Artificial Intelligence (AI) Startup

• Age 27 to 35 years
• Only Male

• Strong background in Deep Learning and Computer Vision (e.g., CNNs, Transformers, video models).· 
• Proficiency with PyTorch or TensorFlow for model training and analysis.·       
• Hands-on experience in model profiling tools (e.g., PyTorch Profiler, TensorBoard, NVIDIA Nsight).·  
• Solid understanding of network architectures (residual blocks, attention, 3D convolutions, etc.).·    
• Experience with optimization techniques: pruning, quantization, mixed-precision training, distillation.·      
• Hands-on experience with GPU environments (CUDA, cuDNN, multi-GPU/distributed training, profiling tools).·  
• Strong skills in data analysis and preprocessing to align input-output distributions.·       
• Familiarity with deployment constraints (edge devices, GPU inference, real-time systems).·       
• Excellent problem-solving skills with an ability to think at both system and model levels.

AlterSense is a creative tech company that specializes in AI and immersive technologies. Having an alternative look towards the problem and making sense of data, we creatively connect the dots through pioneering technology to develop completely new solutions. Incorporating AI adds a whole new level to it, leading to our game-changing products.

We are seeking a Computer Vision Engineer with strong expertise in deep learning model analysis and optimization. The ideal candidate will not only build and train models but also dive deep into architectures layer-by-layer or block-by-block, analyzing how data flows through the network. You will focus on performance optimization, input–output adaptation, and model efficiency for deployment in real-world systems.

Key Responsibilities

• Perform detailed analysis of computer vision models (CNNs, Vision Transformers, Video Models, etc.) at the layer/block level to understand internal representations and bottlenecks.
• Optimize model performance in terms of latency, FLOPs, memory footprint, and accuracy trade-offs.
• Conduct data adaptation and pre-processing strategies by examining the relationship between input distributions and model outputs.
• Implement model compression techniques such as pruning, quantization, and knowledge distillation for efficient deployment.
• Profile and debug models to identify performance bottlenecks across training and inference pipelines.
• Collaborate with data scientists and ML engineers to design scalable end-to-end vision pipelines.
• Research and integrate state-of-the-art architectures for tasks such as classification, detection, segmentation, or action recognition.
• Benchmark and document layer-wise behaviors for explainability, interpretability, and optimization insights.

• Performance bonus,Weekly 2 holidays
• Lunch Facilities: Partially Subsidize
• Salary Review: Yearly
• Festival Bonus: 2

WHY ALTERSENSE:

· The scope of working with veterans from diversified industries

· Challenging work with ultimate fulfillment of career

· Birthday Allowances

· Flexible working hours.

· Part of A category conglomerate.