SAIC
AI ML Engineer
SAIC, Chantilly, Virginia, United States, 22021
Description
SAIC is looking for an
AI/ML Engineer
(SETA) to play a key role in SAIC's Prime Program, Landmark AOS, located in Chantilly, VA. Landmark AOS is a major SETA program supporting the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED) in acquiring systems across their entire life cycle. An active Top Secret/SCI clearance with Polygraph is required for this position.
Responsibilities to include, but are not limited to: Collaborate with cross-functional teams to define AI/ML project goals, success criteria, and roadmaps. Understand how to design and develop advanced AI/ML models and algorithms that are used to solve complex problems and deliver business value. Support the Artificial intelligence (AI) / Machine learning (ML) projects providing technical guidance and strategic insights. Translate business challenges into AI/ML opportunities, articulating the benefits and trade-offs to non-technical stakeholders. Keep abreast of the latest developments in AI/ML technology and introduce best practices to the team. Provide mentorship and technical leadership to junior AI/ML practitioners within the team. Work closely with customer AND vendor data engineers & architects to ensure the infrastructure and data pipelines are optimized for ML model deployment. Support the vendor(s) in conducting rigorous model validation, testing, and performance evaluation to ensure the integrity and quality of AI solutions. Ensure the vendor provides documentation regarding the AI/ML processes, methodologies, and findings for knowledge sharing and compliance purposes. Be able to translate the information to the government for future work. Qualifications
Required Education and Experience: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree. Active Top Secret/SCI with Poly. Relevant industry experience in designing and implementing AI/ML solutions. Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings. Proficient in data modeling, data pipeline creation, and deployment of ML models in production environments. Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML. Experience working with the Intelligence Community. Strong analytical and problem-solving skills with the ability to work on complex issues where analysis of situations requires an in-depth evaluation of variable factors. Excellent communication and interpersonal skills, with a proven record of engaging stakeholders and mentoring teams.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
SAIC is looking for an
AI/ML Engineer
(SETA) to play a key role in SAIC's Prime Program, Landmark AOS, located in Chantilly, VA. Landmark AOS is a major SETA program supporting the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED) in acquiring systems across their entire life cycle. An active Top Secret/SCI clearance with Polygraph is required for this position.
Responsibilities to include, but are not limited to: Collaborate with cross-functional teams to define AI/ML project goals, success criteria, and roadmaps. Understand how to design and develop advanced AI/ML models and algorithms that are used to solve complex problems and deliver business value. Support the Artificial intelligence (AI) / Machine learning (ML) projects providing technical guidance and strategic insights. Translate business challenges into AI/ML opportunities, articulating the benefits and trade-offs to non-technical stakeholders. Keep abreast of the latest developments in AI/ML technology and introduce best practices to the team. Provide mentorship and technical leadership to junior AI/ML practitioners within the team. Work closely with customer AND vendor data engineers & architects to ensure the infrastructure and data pipelines are optimized for ML model deployment. Support the vendor(s) in conducting rigorous model validation, testing, and performance evaluation to ensure the integrity and quality of AI solutions. Ensure the vendor provides documentation regarding the AI/ML processes, methodologies, and findings for knowledge sharing and compliance purposes. Be able to translate the information to the government for future work. Qualifications
Required Education and Experience: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree. Active Top Secret/SCI with Poly. Relevant industry experience in designing and implementing AI/ML solutions. Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings. Proficient in data modeling, data pipeline creation, and deployment of ML models in production environments. Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML. Experience working with the Intelligence Community. Strong analytical and problem-solving skills with the ability to work on complex issues where analysis of situations requires an in-depth evaluation of variable factors. Excellent communication and interpersonal skills, with a proven record of engaging stakeholders and mentoring teams.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.