Machine Learning Engineer

**Please note:  This job requires an existing Top Secret Clearance and  Polygraph**

Responsibilities and Duties

• Leverage open source best-in-class models to create new models—through fine tuning, transfer learning, and more— and ensembles that can be re-purposed and reused, covering the following domains:
  • Classification
  • Supervised (CNN, Unet, YOLO, or similar)
  • Unsupervised (DBSCAN, K-Nearest, Adaboost, or similar)
  • Prediction
  • Predictors (LSTM, UConv, or similar)
  • Regressors (Bayesian, linear, or similar)
  • Fusion (sensor level and entity level)
  • Decision making (Task assignments, combinational and parametric optimizations, Reinforcement Learning, Path Planning, or similar)
  • Generative (LLMs, Stackable LLMs, or similar)
  • Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar.
• Analyze large amounts of raw data, including text data, to determine utility for training or testing AI models.
• Preprocess or clean structured and unstructured Sponsor data, including text data.
• Design and implement advanced ETL code and table configurations for complex data sets.
• Use Structured Query Language (SQL) to develop and organize relevant information.
• Cooperation with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates, and document methods in Github.
• Implement the Sponsor’s existing coordination process.
• Provide technical education to staff on an ad-hoc basis.
• Provide subject matter expertise in AI/ML to support Sponsor’s initiatives.

Experience Needed:

• Citizenship: Must Be a US Citizen
• Existing Clearance Required: Active Top Secret SCI with Poly
• Minimum Bachelor's Degree required
• Expert level experience required
• Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience using Python or R.
• (KEY) 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.
• (KEY) Demonstrated professional experience or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems)
• (KEY) Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark
• (KEY) Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• (KEY) Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
• (KEY) Demonstrated experience leveraging GPUs for accelerated computing.
• Demonstrated professional or academic experience with version control systems such as Github and Jenkins.

Other skills and demonstrated experiences that are highly desired but not required to perform the work include:

• 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).

Travel is anticipated for this position:

☒   Local travel/POV will be on an as needed basis, within the local place of performance.

Main Number: 1-888-663-2690 | info@Dezign-Concepts.com | www.dezign-concepts.com

Dezign Concepts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Salary : $190,000