Colorado Springs, CO, 80932, USA
7 days ago
Secret Lead AI/ML Engineer/SME
Job Description Insight Global is hiring a Lead AI/ML SME to support a large defense contract in Colorado Springs, CO sitting onsite between Schriever Space Force Base and Prime facility. Insight Global is seeking a highly skilled and strategic AI/ML Technical Lead to support a federal customer in standing up and scaling AI/ML capabilities across mission-critical programs. This role is ideal for a candidate who can bridge the gap between technical execution and leadership, with a strong understanding of productization, program planning, and stakeholder engagement. This person will drive productization efforts—transforming existing AI/ML assets into scalable, customer-ready solutions. Responsibilities also include: - Lead the development and execution of the customer’s AI/ML strategy, aligning with mission and operational goals. - Evaluate current AI/ML pipelines and identify opportunities for optimization, scalability, and integration. - Conduct gap analyses across resources, costs, and capabilities to inform future-state architecture. - Collaborate with cross-functional teams to define and deliver program increment plans. - Serve as a customer-facing technical lead, engaging with senior stakeholders to translate mission needs into actionable AI/ML solutions. Pay Range: ~$155K -230,000 annually. Exact compensation may vary based on several factors, including skills, experience, and education. 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 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 HR@insightglobal.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/. Skills and Requirements - Active DoD Secret clearance with eligibility for Top Secret - Bachelor’s Degree in a STEM and 12+ years of related experience, or a Master's Degree and 10+, or 8 years of experience with a PhD. - Expertise in a wide range of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. - Strong programming skills in Python, R, or other relevant languages. - Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras. - Expertise with Large Language Models/Generative AI and Prompt Engineering. - - Proficiency in data mining, data analysis, and data visualization. - Experience with cloud computing platforms such as AWS, Azure, or GCP. - Familiarity with DevOps practices and tools. - Experience with big data technologies such as Hadoop, Spark, and Hive. - Experience using LLM/GAI solutions for usage in human-machine teaming for Software Development. - Experience in Engineering and Aerospace - Publications in peer-reviewed AI/ML conferences or journals. - Experience with MLOps and deploying models at scale. - Experience with A/B testing and other methods for evaluating the performance of AI/ML models. - Experience working with sensitive data and adhering to data privacy regulations.
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