Machine Learning Engineer

APK Solutions LLC

Yesterday
Intel Agency (NSA, CIA, FBI, etc)
Mid Level Career (5+ yrs experience)
$150,000 and above
No Traveling
Full Scope Polygraph
IT - Data Science
Chantilly, VA (On-Site/Office)

Come Join Our Team! APK Solutions is a government contractor providing professional and technical services to the intelligence community. We are currently looking for a Machine Learning Engineer to join our winning team. The individual hired for this position will provide support for our government customer located in Chantilly, VA.

REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE
• Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
• Demonstrated professional or academic experience using Python or R.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. (KEY EXPERIENCE FOR CUSTOMER)
• Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
• Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
• Demonstrated experience leveraging GPUs for accelerated computing. (KEY EXPERIENCE FOR CUSTOMER)

HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated experience with cloud computing development and architecture.
• Demonstrated experience with front-end web development frameworks such as Flask.
• Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models.
• Demonstrated experience developing applications for semantic search. • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification and validation test benches.
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with ONNX (Open Neural Net Exchange)

Salary Range: $150,000-$200,000

**All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.**
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