Senior AI/ML Engineer — GenAI & MLOps

Accenture Federal Services; Chantilly (VA); Vor Ort; USD 110.000 - 224.000; Vollzeit

Zusammenfassung

Accenture Federal Services in Virginia is seeking a seasoned AI/ML Engineer to design, develop, and deploy scalable, production‑ready AI systems for federal programs. You will build data pipelines, implement algorithms in Python, and operationalize models with MLOps, CI/CD, and containerization.

You will optimize models for accuracy, latency, and scalability while ensuring AI governance and ethical standards.

Qualifikationen

• US citizen with active TS/SCI CIP bachelor's degree in a relevant field.
• 10 years of AI/ML engineering experience.
• Advanced Python programming skills.
• Hands-on experience deploying production GenAI/LLM systems, embeddings, and vector databases.
• Proficiency with ML frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Practical experience with MLOps tools like MLflow, Azure ML, or Vertex AI.
• Background in NLP, computer vision, or reinforcement learning.

Aufgaben

• Design, develop, and deploy AI, ML, and GenAI systems.
• Build and maintain data pipelines for training, evaluation, and inference.
• Implement algorithms using Python.
• Operationalize models with MLOps, CI/CD, and containerization.

Kenntnisse

Python

MLOps

APIs & microservices

Cloud platforms

Distributed systems

GenAI/LLM

Embeddings/Vector DB

PyTorch

TensorFlow

Scikit-learn

Ausbildung

Bachelor's degree

Tools

MLflow

Azure ML

Vertex AI

CI/CD

Containerization

Jobbeschreibung

Accenture Federal Services in Virginia is seeking a seasoned AI/ML Engineer to design, develop, and deploy scalable, production‑ready AI systems for federal programs. You will build data pipelines, implement algorithms in Python, and operationalize models with MLOps, CI/CD, and containerization.

You will optimize models for accuracy, latency, and scalability while ensuring AI governance and ethical standards.