Senior Machine Learning Engineer

November 4

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Mile Two

WebsiteLinkedInAll Job Openings

Human Performance • Human Machine Teaming • Custom Software Development • Cognitive Systems Engineering • Coordination and Control

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Description

• Join Our Innovative Team at Mile Two! • Are you passionate about solving complex problems and creating cutting-edge technology solutions? • Do you thrive in a dynamic, collaborative environment where your skills and creativity are valued and encouraged? • If so, Mile Two might be the perfect fit for you! • At Mile Two, we are dedicated to developing advanced solutions that drive innovation and efficiency across various industries. • Our team of experts works on projects leveraging the latest technologies to make a real impact for our government and commercial partners. • We create seamless integrations between human expertise and advanced machine capabilities to solve complex challenges. • As part of our team, you will have the opportunity to work on meaningful projects that challenge you and help you grow professionally. • We offer a supportive and inclusive work environment, competitive benefits, and numerous opportunities for career advancement. • If you are ready to take your career to the next level and be part of something extraordinary, we invite you to explore our current job openings and apply today. • The Senior Machine Learning (ML) Engineer will be a self-starter and technical leader who will work closely with the Principal Machine Learning Engineer to continue progress on projects and help shape new directions for the organization. • They will work closely with internal and external teammates in a very collaborative environment to take technologies to new software and services. • The Senior ML Engineer will have strong communication skills both orally and in writing.

Requirements

• Secret clearance and ability to obtain and maintain a Top Secret security clearance • DOD experience • Must be able to work EST business hours • 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD) • 4+ years of strong programming fluency in Python • 4+ years of hands-on experience in computer vision and natural language processing • Strong experience with image recognition, object detection, segmentation, and NLP techniques such as sentiment analysis, text classification, and topic modeling • Advanced degree in Machine Learning, Statistics, Computer Science, Mathematics, or related field, or related experience • Understanding of data structures, data modeling, and software architectures (design patterns, reliability, and scaling) of new and current large-scale distributed software systems • Deep expertise in machine learning frameworks and tools • Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and langchain • Experience with generative AI techniques and tool deployment • Ability to communicate effectively with both technical and non-technical audiences • Ability to develop and translate machine learning solutions into scalable production implementations • Applied experience building models containing disparate data streams • Desire to be involved in multiple diverse and innovative projects • Demonstrated experience to capture and win work • Proposal writing experience • Experience building and/or working with data pipelines and data lakes • Experience using scale-out cloud and/or HPC architectures for parallel programming • 3+ years of managerial experience