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TaskVerse
TaskVerse

AI/ML Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Security software
Machine Learning
AI
+24

Visa

U.S. visa required

Permanent role
20 days ago
Apply now

About The Company

Guidehouse is a leading management, technology, and consulting services firm dedicated to addressing complex challenges faced by government, commercial, and nonprofit organizations. With a strong commitment to innovation and excellence, Guidehouse delivers tailored solutions that drive growth, efficiency, and impact. Our diverse team of experts collaborates to develop strategies and implement technologies that enable clients to achieve their mission-critical objectives. We foster an inclusive work environment that values integrity, continuous learning, and professional development, ensuring our employees are equipped to make a meaningful difference in their respective fields.

About The Role

The AI/ML Engineer - Supply Chain & Logistics at Guidehouse will play a vital role supporting Department of Defense (DoD) initiatives. This position involves designing, developing, and deploying advanced machine learning models focused on optimizing logistics, enhancing predictive analytics, and detecting anomalies within complex supply chain environments. The successful candidate will leverage cutting-edge AI/ML techniques such as reinforcement learning, neural networks, and metaheuristics to address critical challenges related to inventory management, resource allocation, and operational efficiency in dynamic and often contested environments. Additionally, this role requires leading architecture design for scalable, secure, and maintainable AI systems, mentoring engineering teams, and ensuring alignment with defense AI strategies and mission requirements. The engineer will also explore emerging AI/ML technologies, conduct feasibility studies, and contribute to innovation initiatives and academic collaborations to advance the state of the art in defense logistics.

Qualifications

The ideal candidate will possess an active and maintained "SECRET" federal or DoD security clearance, ensuring they can access sensitive information necessary for the role. A bachelor’s degree in Computer Science, Data Science, Engineering, or a related field is required, along with a minimum of five (5) years of professional experience in AI/ML. Proven expertise in developing and deploying machine learning models, coupled with a strong understanding of logistics and supply chain processes, is highly preferred. Candidates should demonstrate proficiency in programming languages such as Python, frameworks like TensorFlow or PyTorch, and experience with cloud computing platforms. Exceptional problem-solving skills, the ability to work collaboratively in multidisciplinary teams, and a commitment to security best practices are essential for success in this role.

Responsibilities

  • Design and implement advanced machine learning models tailored for logistics optimization, predictive analytics, and anomaly detection within defense supply chain environments.
  • Apply innovative techniques such as reinforcement learning, neural networks, and metaheuristics to solve complex inventory and resource management challenges.
  • Develop real-time decision-making systems to support dynamic pricing, resource allocation, and predictive maintenance efforts.
  • Lead the architecture design for scalable, secure, and maintainable AI systems that meet mission-critical requirements.
  • Mentor and guide engineering teams, enforcing best practices in machine learning development and secure software engineering principles.
  • Ensure technical roadmaps align with defense AI strategies, compliance standards, and operational needs.
  • Explore and implement emerging AI/ML technologies to enhance logistics capabilities in contested and uncertain environments.
  • Conduct feasibility studies, contribute to innovation initiatives, and collaborate with academic and industry partners to evaluate new technologies.

Benefits

Guidehouse offers a comprehensive total rewards package designed to support our employees' health, well-being, and professional growth. Our benefits include medical, dental, vision, and prescription insurance to ensure comprehensive healthcare coverage. Employees receive personal and family sick time, along with company-paid holidays, fostering work-life balance. The position may be eligible for a discretionary variable incentive bonus, recognizing individual and team performance. Additional benefits include parental leave and adoption assistance, a 401(k) retirement plan with company matching, and life insurance options. Health savings accounts, flexible spending accounts for dental, vision, and dependent care, as well as short-term and long-term disability coverage, are available to support financial security. We also provide student loan paydown programs, tuition reimbursement, and ongoing learning opportunities to promote continuous development. Our employee referral program, corporate-sponsored events, community outreach initiatives, emergency backup childcare, and mobility stipends further enrich the employee experience, fostering a supportive and engaging workplace environment.

Equal Opportunity

Guidehouse is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We welcome applications from protected veterans, individuals with disabilities, and all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, or any other protected characteristic. We consider qualified applicants with criminal histories in accordance with applicable laws and ordinances, including the Fair Chance Ordinance of Los Angeles and San Francisco. We are dedicated to ensuring a fair and accessible hiring process and provide accommodations for applicants with disabilities upon request. Our commitment to diversity and inclusion is integral to our mission of delivering innovative solutions and creating a positive impact in the communities we serve.

About TaskVerse

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