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Machine Learning Engineer/Scientist

Precise Systems delivers integrated, mission-ready solutions that advance warfighter readiness and strengthen our nation's most critical defense programs. Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering; Digital Transformation; Electromagnetic Warfare; Interactive Training & Simulation; Physical Sciences Research; Platform Lifecycle Support; and Foreign Military Sales. Unified by decades of trusted performance and expanded through strategic growth, our team applies innovative technologies, engineering rigor, and customer-focused execution to solve complex challenges and accelerate mission success. Guided by our commitment to partnership, precision, and performance, we deliver the scalable solutions and technical excellence our customers depend on—today and into the future. We are seeking a Machine Learning Engineer or Scientist with experience in the physical sciences to support innovative chemical and biological defense projects that integrate automation, and physical science principles. The selected candidate will apply their academic and practical knowledge, experience, and expertise in chemical & biological research and perform data analytics using data science principles. The role involves integrating predictive performance metrics into laboratory processes using pythonic dashboards, adapting metrics and models to project needs, developing pipelines for chemical or biological data, and executing them in laboratory settings to achieve desired outcomes. This role requires in-person support.

Duties:

Under the guidance of senior professionals, the individual will perform tasks encompassing research, development, testing, and evaluation of machine learning models towards chemical and biological datasets. The candidate will contribute to advancing chemical and biological research and development that drives innovation to out-pace emerging threats while simultaneously providing modern solutions Collaborate with interdisciplinary teams to develop machine learning solutions for biological/chemical challenges. Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD research efforts. Perform internal verification and validation of models and code to ensure deployments for real laboratory use. Develop and implement dashboards or other graphical user interfaces for automation for laboratory experimentation. Analyze biological or chemical data using languages such as Python and R to derive mathematical insights and improve system performance. Employ DevSecOPs and MLOps to integrate machine learning processes into secure data pipelines. Collaborate with academic and industry partners to test and refine algorithms and biological systems in diverse environments. Perform research to keep models and analysis up to date with the latest advancements.

Required Education:

Master's degree in Computer Science, Computer Engineering, Computational Biology, Bioinformatics OR Bachelor's degree in a relevant field with 5 years of experience in a laboratory and/or computational environment.

Preferred Education:

Ph.D. in Computational Biology/Chemistry, Machine Learning, Physical Sciences, or a related field with 1 year of experience in a laboratory and/or computational environment.

Required Experience:

3 years of experience in a laboratory and/or computational environment. Hands-on experience applying machine learning algorithms and data science techniques to physical science problems. P... Visit the Employer site for more details