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Mid LevelFull-timeJavaScriptPythonJavaRustAWSGCPAzureMachine LearningCI/CDGit
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an MLOps Developer to join Accenture Federal Services, a technology company within global Accenture. This role involves developing MLOps frameworks and workflows for various domains and applications, deploying and maintaining ML models, and collaborating with cross-functional teams.
Key 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
- ✓Hands-on experience with scripting languages such as Python, JavaScript or Rust
- ✓Familiar 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 working with and managing processing of large datasets and computational or analytic jobs
- ✓US Citizenship (No Dual citizenship)
- ✓Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
- ✓Bonus Points
- ✓Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
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