Machine Learning / Cloud Engineer - Hybrid - TS/SCI

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Position type:

Fulltime / Hybrid 3-4 days

Location:

N.W D.C

Clearance:

TS/SCI

Role Description

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:

1. Bachelor's degree or equivalent practical experience.
2. 8+ years of experience in computer science, data science, machine learning.
3. Proven experience developing and deploying machine learning models in a production environment.
4. Hands-on experience with major cloud platforms.
5. Strong proficiency in programming languages such as Python, along with libraries like Tensorflow, PyTorch, or scikit-learn.
6. Understanding of version control, testing, and debugging.
7. Agile development experience along with related technologies (e.g., Jira).

Skills:

1. GitLab
2. Python and R Studio
3. Cloud Services (AWS, Google Cloud Platform, Oracle)
4. Natural Language Processing (NLP)

Machine Learning / Cloud Engineer - Hybrid - TS/SCI