Overview
On Site
Contract - W2
Contract - 6 Month(s)
Skills
Research Design
Art
Benchmarking
Optimization
Real-time
Decision-making
Workflow
Deep Learning
TensorFlow
Algorithms
Semantics
Evaluation
Cloud Computing
Use Cases
Computer Science
Machine Learning (ML)
Electrical Engineering
Research
OWL
Python
PyTorch
Computer Vision
Amazon SageMaker
Ubuntu
Linux
Machine Learning Operations (ML Ops)
JAX
Transformer
Language Models
Supervised Learning
Open Source
Health Insurance
Insurance
Team Building
Collaboration
Wiki
Knowledge Base
Status Reports
Account Management
IT Consulting
Managed Services
Recruiting
Artificial Intelligence
Cyber Security
Enterprise Architecture
Training
FOCUS
Job Details
Step into a high-impact role as a Computer Vision Model Engineer with deep expertise in machine learning! You'll 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, you'll be building models that push the boundaries of what's 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.
- Bachelor's or Master's 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:
- Bachelor's 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.