Machine Learning Engineer SSSGDV2219

Sabree Software Services; McLean (VA); Presencial; USD 110 000 - 170 000; Tempo integral

Resumo da oferta

Sabree Software Services, Inc. is seeking a Machine Learning Engineer to design experiments that benchmark LLMs, implement deep learning models, and validate AI systems. The role emphasizes GPU-accelerated computing, Python programming, and building robust ML pipelines in a United States context.

The candidate should have hands-on experience with model ensembles, Transformers libraries, and data preprocessing while delivering reliable analytics and visualizations for stakeholders.

Qualificações

• Experience designing experiments to test LLM performance.
• Experience with DL frameworks (PyTorch, TensorFlow, Keras).
• Experience testing/validating AI systems, focusing on LLMs.
• Experience using GPUs for accelerated computing.
• Experience tuning neural networks/LLMs on custom data and applying results.
• Experience developing models/ensembles, selecting Python libraries, preprocessing, analyzing performance.

Conhecimentos

Experiment design

DL frameworks

LLM evaluation

GPU acceleration

NN tuning

Model ensembles

Python

SQL

Git/Jenkins

Formação académica

Master's in CS/ML

Ferramentas

Tableau

Flask

HuggingFace Transformers

ONNX

SciKit-Learn

Descrição da oferta de emprego

Seeking a Machine Learning Engineer With the following skills:

Required Skills

• Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• Demonstrated professional experience or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems
• Demonstrated experience leveraging GPUs for accelerated computing.
• 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 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.

Desired Skills

• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated professional or academic experience in the development of benchmarks to measure LLM performance. (KEY EXPERIENCE FOR CUSTOMER)
• 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).

About Us

Sabree Software Services, Inc. (S3) is a full-service software firm headquartered in Northern Virginia. We support the federal government and commercial arenas by providing high quality, system/software architecture design, full-lifecycle/full-stack software development services, usability engineering, testing, and project management services. Our team is comprised of an elite network of engineers, with advanced degrees, who have been providing technical services to our customers and partners in the DC metropolitan area for over 20 years. We are committed to delivering innovative, multidisciplinary solutions in an agile fashion.