AI / ML Engineer

They are a white hat partner to a DOD entity to provide solution engineering, and reduce cost in architecture and design We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HRinsightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience Required Minimum Qualifications Experience with machine learning tools such as Tensorflow, PyTorch, and Scikit-learn Experience in the applied Artificial Intelligence and Machine Learning (AI/ML) domain particularly in the area of Machine Learning Operations (MLOps) Familiarity with software development and collaboration tools such as GitLab and Atlassian (Confluence, Jira, Bitbucket) Knowledge and experience working with cloud computing platforms (e.g., Azure, AWS, GCP). Bachelors degree and 5 years of experience (post-degree) Strong understanding of how Language model works- looking for practical experience in ML able to write something, fine tune, and allso suggest what needs to be done to improve etc. Nice to Have Skills & Experience Active Secret Clearance Research and evaluate AI models, conduct validations, manage AI projects, and align with industry data quality and machine learning best-practices Provide feedback, input, and consultation on various artifacts, including technical analysis of vendor products, academic insights, inputs to the DoD Enterprise AI strategy and technical documentation Provide technical analysis on vendor products through market research and participation in vendor demos, offering insights into their capabilities Share expertise and keep teams informed about emerging trends on AI advancement through presentation, literature summaries, or curated resource list Research and evaluate cost-effective AI/ML solutions for DoD enterprise use cases. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.