AI/ML Technical Lead

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $153 000 - $207 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

AWS

Azure

Cloud

Cyber Security

Java

Python

PyTorch

Tensorflow

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Logo of General Dynamics Information Technology

General Dynamics Information Technology

10 000+ employés

Fondée en 1954

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

General Dynamics Information Technology (GDIT) est un acteur de premier plan de l’innovation technologique, offrant un large éventail de services, notamment le conseil, la modernisation numérique et les services applicatifs. L’entreprise déploie des solutions en intelligence artificielle (AI), cloud computing (Cloud), cybersécurité, calcul haute performance (HPC) et technologies quantiques. GDIT s’engage à soutenir les secteurs public et de la défense, en fournissant des services essentiels à la mission tels que la logistique et la gestion de la chaîne d’approvisionnement, le renseignement et la sécurité intérieure. L’entreprise met également l’accent sur des pratiques de recrutement diversifiées et inclusives et promeut activement le bien-être des collaborateurs. Grâce à ses accélérateurs numériques et à l’adoption pionnière de technologies émergentes, GDIT vise à faire progresser les missions des agences et à relever des défis technologiques complexes.

Description

• Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges • Serve as the technical lead for AI/ML strategy, architecture, and implementation across the program • Design and deploy scalable AI/ML models in support of the CMS mission • Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems • Integrate AI solutions into secure enterprise and tactical environments • Ensure compliance with CMS cybersecurity and data governance standards • Provide oversight of data engineering pipelines and model lifecycle management (MLOps) • Develop and maintain model validation, explainability, and bias mitigation practices • Advise program leadership and stakeholders on emerging AI technologies and mission applications • Support transition of experimental or prototype AI capabilities into operational production systems • Integrate security, ethical, and data governance requirements directly into AI development workflows • Drive AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation • Mentor junior engineers and provide technical leadership across cross-functional teams

🎯 Exigences

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master’s or PhD preferred) • 10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines, including hands-on experience with modern AI technologies • 5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments • Proficiency in programming languages such as Python, R, and/or Java • Deep understanding of machine learning frameworks such as TensorFlow or PyTorch, preferably implemented within AWS SageMaker • Experience integrating AI/ML capabilities into secure enterprise environments and adhering to cybersecurity, data governance, and compliance requirements • Experience developing AI products or functional prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies • Experience working with cloud computing platforms (AWS preferred; Azure or Google Cloud acceptable) and using AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI • Candidate must be able to obtain Public Trust clearance • Candidate must have lived in the United States at least three (3) out of the last five (5) years

🏖️ Avantages

• Health insurance • 401(k) with company match • Paid time off • Variety of medical plan options • Dental plan options • Vision plan • Flexible work weeks • Paid parental leave • Military leave • Bereavement leave • Jury duty leave • Short and long-term disability benefits • Life and accident insurance • Critical illness insurance • Business travel insurance • Time off packages

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