Lead ML Engineer
MachinifyFull Time
Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates should possess 4+ years of hands-on experience developing and implementing machine learning algorithms, practical experience training and deploying Machine Learning models, an understanding of machine learning techniques and algorithms, data mining, and statistical analysis, experience with cloud platforms such as AWS, Azure, and GCP (AWS preferred), proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD, experience building and maintaining machine learning pipelines, and experience with container applications such as Docker, Kubernetes, and OpenShift (Kubernetes preferred).
As a Machine Learning Engineer, you will implement machine learning applications using existing and emerging technology platforms to deliver business value to clients, collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists, develop machine learning models and pipelines that are integral to mission success within the computer vision platform, mentor other engineers and develop your technical knowledge and skills, and contribute to the program’s source code, implementing data science techniques.”} ظهر استنادا إلى طلب المستخدم، تم إنشاء استجابة JSON.```json}{
Technology solutions for national security agencies
NT Concepts provides technology solutions focused on national security, working primarily with government agencies in defense and intelligence. Their services include data solutions, digital transformation, and mission enterprise solutions, which help clients manage sensitive information and enhance security measures. Unlike many competitors, NT Concepts emphasizes customized solutions tailored to the unique needs of their clients in a highly sensitive sector. The company's goal is to ensure the safety and security of the nation while also engaging in social responsibility initiatives, such as their Million Meals Challenge, which aims to give back to the community.