AI/ML Engineer

🕒 March 4

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $108.4k - $203.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Accenture Federal Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2017

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

Artificial Intelligence • Cybersecurity • Government

Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.

📋 Description

• Develop MLOps frameworks and workflows for a variety of domains and applications • Deploy, maintain, and optimize ML models and data processes in a production environment • Develop custom AI/ML algorithms that translate into mission value • Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency • Collaborate with cross-functional teams to integrate AI/ML models into products and services

🎯 Requirements

• Hands-on experience with scripting languages such as Python, Javascript or Rust • Hands-on experience with developing machine learning models at scale from inception to business impact • Hands-on experience with any major deep learning framework and libraries (Tensorflow, PyTorch, HuggingFace) • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches • Experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment • Experience working with and managing processing of large datasets and computational or analytic jobs • Experience monitoring and triaging issues with data processes and tools • Must be a U.S. Citizen (No Dual citizenship)

🏖️ Benefits

• Accenture Federal Services offers a wide variety of benefits.