sr. computer vision ml engineer

$166,400 - $187,200/Yr

Randstad - Dallas, TX

Full-time - Senior

Remote - Dallas, TX

Administrative and Support Services

About the position

The Senior Computer Vision ML Engineer role involves building and deploying scalable AI/ML systems focused on image recognition and computer vision. The position requires extensive experience in leading projects from conception to deployment, collaborating with cross-functional teams, and implementing high-performance machine learning pipelines. The engineer will work with advanced technologies, including vision models and GPT-4, to develop Gen AI products and search-driven applications.

Responsibilities

• Building computer vision algorithms for tasks such as object detection, image segmentation, pose estimation, and scene understanding.
• Fine-tuning open-source models and deploying them for real-world applications.
• Implementing hybrid search and retrieval-augmented generation (RAG) techniques.
• Conducting advanced testing and evaluation of different chunking strategies for optimized performance.
• Designing and implementing deep learning architectures (e.g., CNNs, RNNs, transformers).
• Building robust data pipelines for machine learning models, ensuring data cleanliness and availability for model training and deployment.
• Automating ML pipelines using Airflow and optimizing workflows in distributed environments.
• Collaborating closely with stakeholders, ML engineers, data scientists, and DevOps teams to ensure successful project delivery.

Requirements

• Over 8 years of experience in computer vision and machine learning, including deploying models in production.
• Experience with OpenAI models (e.g., GPT-4) and vision models.
• Proficient in designing and implementing deep learning architectures (e.g., CNNs, RNNs, transformers).
• Experience with Azure cloud platforms and containerization tools like Docker and Kubernetes.
• Deep knowledge of Azure AI studio and ML lifecycle tools (e.g., MLflow, DVC).
• Strong focus on performance optimization, continuous integration, and improving ML systems for deployment at scale.

Nice-to-haves

• Experience with computer libraries such as OpenCV, DLIB, or similar.
• Familiarity with large-scale machine learning systems and infrastructure-side challenges.
• Strong communication and leadership abilities.

Benefits

• Comprehensive benefits package including health insurance, incentive and recognition program, and 401K contribution.