Morsecorp Machine Learning Engineer at Morsecorp responsible for designing, implementing, and managing complex ML algorithms with a focus on computer vision. Collaborate with engineers to transition algorithms to production on various platforms.
Responsibilities
Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.
Use MLOps tools for efficient experiment tracking, data management, and reproducibility
Write robust, efficient, and maintainable code
Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
Skills and Requirements:
US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
Proven experience testing and validating the performance of AI technologies in real-world applications
Proficiency in Python
Experience with cloud platforms (AWS and Azure)
Qualification
Masters or PhProven experience applying CV modelsProficiency in PythonExperience with Docker
Required
US CITIZENSHIP REQUIRED and ability to obtain U.S. Security Clearance
Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
Proven experience applying CV models, techniques, frameworks, and libraries
Proven experience testing and validating AI technologies in real-world applications
Proficiency in Python
Experience with cloud platforms (AWS and Azure)
Experience with Docker
Experience with MLOps tools such as Airflow, MLFlow, AimStack
Preferred
Understanding of Department of Defense requirements and standards
