Machine Learning Engineer III

August 3

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Dynamic Overmatch, Delivered.

Enterprise Software Architecture • Software Engineering • Mobile App Development • Cyber Security Consulting • IT Support and Analysis

51 - 200

Description

• Work in one or more of our Machine Learning (ML) Software products • Leads the design, development, and deployment of machine learning models and algorithms to solve complex business problems • Leads integration of state-of-the-art machine learning libraries and frameworks into existing software applications • Develop and maintain data pipelines for collecting, preprocessing, and transforming data for machine learning tasks • Develops, enhances, and maintains cloud, data, and software products to support the software platform • Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by product owner and other stakeholders in a production environment • Leads, coaches, and mentors junior data scientists, engineers, and other staff • Contributes to phases of the software development life cycle, including functional analysis, development of technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support • Participates in daily scrums, works with the scrum master on projects to support delivery timelines and priorities • Organizes and prioritizes team workload with scrum team through story-pointing • Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions

Requirements

• Master's degree and minimum 6 years of professional experience in machine learning • Experience in Python and/or C++ is required • Experience with machine learning frameworks like Tensorflow, Pytorch, etc. • Experience in evaluating, training, and deploying machine learning models • Experience with Jupyter Notebooks • Experience in cloud-based computing platforms such as AWS • Experience in server-side development (API definitions, REST services, etc.) • Experience in containerization technologies and deployment frameworks like Kubernetes or Docker • Experience in application frameworks (Node, Spring, React, React Native, Django, Bootstrap, etc.) • Experience in either Linux or Microsoft Windows platforms • Experience with Automated Testing (JUnit, Jest, Cypress, etc.) • Excellent communication and teamwork abilities • Proven ability to lead technical tasks and/or technical teams • Ability to thrive in a fast-paced and dynamic environment

Benefits

• Health, life, disability, dental, and vision insurance coverage • 401(k) policy with a 3% company contribution & 3% company match • Generous Paid Time Off (including a PTO “gift day” for your birthday) • 11 Federal Holidays per year • Two weeks paid maternity/paternity leave • Annual technology “allowances” • Referral bonuses • Professional recognition awards • Healthcare stipends • Tuition/education reimbursement (once certain requirements are met) • Flexible daily start and stop times for most projects and positions