Classification: Direct-Hire

Job ID: 16220277

CereCore is seeking an AI Engineer to join our team Remotely.

Responsibilities:

As an AI Engineer, you will play a crucial role in developing advanced computer vision solutions that push the boundaries of machine learning.
Work with state-of-the-art technologies and contribute to groundbreaking projects in the field of computer vision. Design, implement, and document product development, testing, and deployment processes.
Computer Vision Development: Utilize your expertise in computer vision and machine learning to design and develop innovative algorithms and techniques. Develop high-performance implementations of deep learning models using Python and PyTorch.
Novel Technique Development: Drive the development of novel techniques for ML model measurement and mitigation in areas such as multi-class, multi-object detection, object tracking, and small object detection. Stay updated with the latest research in computer vision and actively contribute to advancing the field.
ML Ops Processes: Demonstrate expertise in ML Ops processes, including model version control, monitoring, and accuracy improvements. Implement best practices for model deployment, maintenance, and optimization.
Collaboration and Communication: Collaborate effectively with cross-functional teams, including data scientists, engineers, and domain experts, to gather requirements, brainstorm ideas, and deliver high-quality computer vision solutions. Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Position Requirements:

Education: MS in Computer Science in areas related to machine learning and computer vision. Strong academic background in computer vision, machine learning, and deep learning.
Experience in Computer Vision: Minimum of 2+ years of hands-on experience in the field of computer vision, with a focus on machine learning techniques. Deep understanding of object detection, tracking, and recognition algorithms.
Strong Python Skills: Proficiency in Python programming and experience with libraries such as PyTorch. Ability to create high-performance implementations of deep learning algorithms.
ML Model Measurement and Mitigation: Demonstrated experience in developing novel techniques for ML model measurement and mitigation, specifically in the areas of multi-class, multi-object detection, tracking, and small object detection.
ML Ops Expertise: Familiarity with ML Ops processes, including model version control, monitoring, and accuracy improvements. Experience in deploying and maintaining computer vision models in production environments.
Problem-Solving Abilities: Strong analytical and problem-solving skills with the ability to think creatively and propose innovative solutions to challenging computer vision problems.
Automotive Experience (Preferred): Experience in the automotive industry, particularly in ADAS, is highly desired. Knowledge of automotive computer vision applications and challenges is a plus.

CereCore was formed in 2001 as a shared service business within a large hospital operator. We focus solely on helping healthcare organizations align business and IT strategies to improve processes and patient care.

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CereCore

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