On-Site ML Engineer for LLM/NLP Analytics (Poly Clearance)

Bespoke Technologies, Inc.; McLean (VA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Bespoke Technologies, Inc. is seeking an on-site Machine Learning Engineer in McLean, VA to advance AI/ML capabilities for large language models and NLP.

You will work with data scientists to fine-tune models, build ensembles, and analyze vast data stores to yield actionable insights for intelligence workflows. The position requires active Poly clearance and deep hands-on experience in Python, PyTorch, and GPU-accelerated computing, with emphasis on NLP tasks, classification, prediction, and

Qualifications

• 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.
• Demonstrated professional or academic experience using Python or R.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
• Demonstrated experience leveraging GPUs for accelerated computing.

Responsibilities

• Collaborate with Sponsor data scientists and technical team to implement requirements; GTM manages priorities.
• Develop models and ensembles using open source models and fine-tuning techniques.
• Analyze large amounts of raw data, including text data, for model training and testing.

Skills

Neural nets

Python

PyTorch

SQL

Git/Jenkins

GPU acceleration

Tools

HuggingFace

TensorFlow

Keras

ONNX

Tableau

Flask

Job description

Bespoke Technologies, Inc. is seeking an on-site Machine Learning Engineer in McLean, VA to advance AI/ML capabilities for large language models and NLP.

You will work with data scientists to fine-tune models, build ensembles, and analyze vast data stores to yield actionable insights for intelligence workflows. The position requires active Poly clearance and deep hands-on experience in Python, PyTorch, and GPU-accelerated computing, with emphasis on NLP tasks, classification, prediction, and