Computer Vision Model Engineer
Computer Vision Model Engineer
Posted on :
22-06-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
22-06-2025
Job Description
Step into a high-impact role as a Computer Vision Model Engineer with deep expertise in machine learning! Youll research design and develop high-performing CV models taking the lead on exploring new architectures and experimenting with state-of-the-art techniques. From detection and segmentation to classification and open-world learning youll be building models that push the boundaries of whats possible.
Key Responsibilities:
- Research prototype and develop advanced computer vision models including YOLO OWL transformers and foundation models.
- Design and conduct experiments for model benchmarking hyperparameter tuning and architecture optimization.
- Collaborate closely with data engineers and pipeline engineers to build clean training datasets and scalable training pipelines.
- Push the limits of model performance for real-time inference large-scale datasets and novel CV tasks.
- Stay abreast of the latest CV and ML research and incorporate relevant advancements into model design.
- Publish internal research reports and contribute to technical decision-making for model architecture and experimentation strategy.
- Work within MLOps workflows to package and version models for deployment.
Basic Qualifications:
- Strong experience in developing deep learning models with PyTorch (or TensorFlow).
- Deep understanding of core CV algorithms and techniques: object detection image classification semantic/instance segmentation and tracking.
- Hands-on experience with YOLO and OWL-style models.
- Solid background in hyperparameter tuning loss function design data augmentation and evaluation metrics.
- Strong coding skills in Python and familiarity with Linux/Ubuntu environments.
- Experience working with AWS SageMaker or other cloud-based ML platforms.
- Ability to read and implement academic papers and adapt research to practical use cases.
- Bachelors or Masters in Computer Science Machine Learning Electrical Engineering or related field. PhD or published research is a strong plus.
Key Skills:
- YOLO OWL.
- Python PyTorch.
- Computer Vision Model Design.
- Hyperparameter Tuning.
- AWS SageMaker.
- Ubuntu/Linux.
- MLOps Integration.
Preferred Qualifications:
- Familiarity with JAX/FLAX and efficient transformer architectures.
- Experience optimizing models for deployment (e.g. quantization distillation).
- Experience with vision-language models.
- Experience with synthetic data generation or self-supervised learning.
- Contributions to open-source libraries or CV benchmarks.
Required Education:
- Bachelors Degree or equivalent.
Benefits:
- 401(k).
- Dental Insurance.
- Health insurance.
- Vision insurance.
- We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
- The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.
Additional Responsibilities:
- Participate in OP monthly team meetings and participate in team-building efforts.
- Contribute to OP technical discussions peer reviews etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us:
OP is a technology consulting and solutions company offering advisory and managed services innovative platforms and staffing solutions across a wide range of fields - including AI cybersecurity enterprise architecture and beyond. Our most valuable asset is our people: dynamic creative thinkers who are passionate about doing quality work. As a member of the OP team you will have access to industry-leading consulting practices strategies & and technologies innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.
Employment Type
Full Time
Key Skills
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