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Artificial Intelligence/Machine Learning Engineer

Redhorse Corporation

Location: Tampa, FL 33601
Type: Full-Time, Non-Remote
Posted on: May 17, 2022
This job is no longer available from the source.
Data science, Data engineering, Python, Statistics, Data analysis, Natural language processing, Infrastructure, Security clearance, Machine learning, DoD, Engineering, Deep learning
Full Time
Depends on Experience
Redhorse Corporation is building a cross-functional team to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) and help to accelerate the delivery of AI-enabled capabilities and to synchronize AI activities in order to expand customer advantages. This effort supports the Joint Logistics Enterprise in support of USCENTCOM missions in order to promote cooperation among nations, respond to crisis, deter and defeat trans-regional aggression, while support the development of resilient logistics and engineering capabilities of our partners. The current Joint Logistics Common Operating Picture (JLOGCOP) is comprised of dozens of data feeds, both automated and manual, from across DoD. This effort is a custom build of artificial intelligence/machine learning (AI/ML) capabilities into the JLOGCOP in order to leverage the data, enhance decision making, and increase the speed of planning.
Position Description
Redhorse Corporation is currently seeking two AI/ML Engineers – Level III to join our team. The place of performance for this work is at MacDill AFB, near Tampa, FL, with the possibility of up to 25% travel.
Primary Duties and Responsibilities for this position include:
• Use machine learning and analytical techniques to create scalable solutions for business problems.
• Drive real-time model implementations and new feature creations as part of JAIC team.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
• Collaborate with data engineers, data scientists, and infrastructure engineers to develop and deploy and model pipelines, applying ML and data science techniques in design distributed and large-scale processing systems.
• Coordinate science and technology research and development (R&D) outreach, and engagement efforts to help advance sensitive ML capability development efforts via technical leadership of external ML contracts.
• Writing production-level, re-usable, easy-to-interpret code in R, Python (required), Java, C++, or other languages, while engaging in collaborative code reviews and providing technical feedback to improve existing ML model performance.
Minimum Basic Requirements for Skills, Experience, and Credentials include:
• Masters Degree or PhD in data science, machine learning, statistics, computer science, applied math, or related highly quantitative field.
• Bachelors Degree with 10+ years of experience accepted as well.
• 8+ years of research experience in machine learning, speed, multimodal sensing, or related areas.
• Experience with natural processing language (NLP) model or deep learning (DL) model building
• Experience with two or more coding languages, including Python.
• Extensive knowledge of machine learning model evaluation metrics and best practices.
• An active Top Secret with SCI security clearance is required for this role. Jobseekers who do not possess an active Top Secret with SCI security clearance will not be considered.