Cleared AI/ML Engineer
About The Position
At Accenture Federal Services, our purpose is to make the US federal government stronger and safer, and to improve people's lives through technology and ingenuity. We are a community of over 13,000 professionals dedicated to serving clients across defense, national security, public safety, civilian, and military health organizations. Accenture Federal Services is recognized as a Glassdoor Top 100 Best Place to Work, offering a collaborative environment where employees are empowered to grow and thrive through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change and advance government missions.
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/s
- Experience working with and managing processing of large datasets and computational or analytic jobs or in academic setting
- Experience monitoring and triaging issues with data processes and tools
- US Citizenship (No Dual citizenship)
Nice To Haves
- Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
- Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
Responsibilities
- 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
Benefits
- Hands-on experience, certifications, industry training and more
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
