- TS-SCI clearance?
- Bachelor's degree or equivalent practical experience.?
- 8+ years of experience in computer science, data science, machine learning
- Proven experience developing and deploying machine learning models in a production environment.
- Hands-on experience with major cloud platforms?
- Strong proficiency in programming languages such as Python, along with libraries like Tensorflow, PyTorch, or scikit-learn.
- Understanding of version control, testing, and debugging.
- Strong communications skills with the ability to effectively convey technical concepts to various stakeholders and audiences
- Agile development experience along with related technologies (e.g., Jira)??
- TS-SCI clearance?
- Deep knowledge of security best practices, experience with cloud security tools, and working with role and attribute based security models?
- Deep knowledge of DevSecOps and MLOPs
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle.?
- Familiarity and experience with the Department of Homeland Security (DHS).?
- Master's degree or equivalent experience in a related field.?
- Develop and deploy machine learning models to solve complex problems related to various mission focus areas
- Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale
- Collaborate with team members to establish data pipelines for model training and inference
- Implement and optimize machine learning algorithms for efficiency and performance
- Conduct thorough experimentation and analysis to improve model accuracy and performance
- Participate in informal and formal code reviews
- Participate in architectural reviews and offer alternative architectural patterns to optimize application performance?
- Document processes and solutions?that serve as communication findings for both technical and non-technical stakeholder
- GitLab
- Python and R Studio
- Cloud Services (AWS, GCP, Oracle)
- Natural Language Processing (NLP)
- Data Science
- Machine Learning
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Machine Learning Cloud Engineer - Washington, United States - Gridiron IT
Description
GridIron IT is seeking a Machine Learning Cloud Engineerlocal to Washington, DC.
Active TS (SCI Eligible) Clearance Required
As a Machine Learning Engineer with cloud experience, you will?be responsible for developing and deploying machine learning models to solve complex problems across a cloud?infrastructure that houses sensitive data and models that support mission critical operations.
You will work closely and collaborate with a dynamic cross-functional team crafting data pipelines for model training to implement machine learning algorithms.
Qualifications:
Preferred Qualifications:
Responsibilities:
Skills:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.
Gridiron IT is a Women Owned Small Business (WOSB) company specializing in IT Infrastructure, Cyber & Cloud Security, Software Development, and Enterprise Support.
Gridiron is an Inc recipient and Washington Business Journal Fastest Growing Companies in the Greater Washington Area for 2022. Gridiron offers a competitive benefits package to include medical, dental, vision, 401(k), life insurance, disability insurance, and pet insurance.
