Cleared AIML Engineer
External job listingat Accenture Federal Services
Develop MLOps frameworks, deploy and optimize ML models, and integrate AI/ML solutions into products and services at Accenture Federal Services.
Salary
Not provided
Location
Tampa, United States
Employment type
Full time
Workplace
Not provided
Cleared AIML Engineer
Tampa, United States
Job description
About the role
At Accenture Federal Services, the work supports the US federal government in making the nation stronger and safer and life better for people. Develop AI/ML solutions for clients across defense, national security, public safety, civilian, and military health organizations.
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.
Requirements
- Experience with any of the following in practice or educational:
- Hands-on experience with scripting languages such as Python, JavaScript or Rust.
- Hands-on experience developing models at scale from inception to business impact.
- Hands-on experience with a major deep learning framework and libraries, such as TensorFlow, TensorRT, PyTorch, or HuggingFace.
- Hands-on experience with MLOps and CI/CD toolsets, including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC.
- Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP.
- Ability to design and develop custom or novel architectures, define use cases, and develop methodology and benchmarks to evaluate different approaches.
- Experience deploying, maintaining, testing, and...
Benefits
Accenture Federal Services describes a collaborative and caring community where people feel they belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. The company is recognized as a Glassdoor Top 100 Best Place to Work.
How to apply
Apply directly on CazVid.
Key facts
- The role develops MLOps frameworks and deploys, maintains, and optimizes ML models.
- Hands-on experience with Python, JavaScript or Rust is among the listed qualifications.
- Machine learning pipelines are developed and deployed in AWS, Azure or GCP.
- Apply directly on CazVid.
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Frequently asked questions
What does the role involve?
It involves developing MLOps frameworks, deploying and optimizing ML models, and integrating AI/ML models into products and services.
What experience is required?
The listing seeks experience in areas such as scripting languages, deep learning frameworks, MLOps and CI/CD tools, and cloud machine learning pipelines.
How can I apply?
Apply directly on CazVid.