Senior NLP & ML Backend Engineer — TS/SCI Poly

Nyla Technology Solutions; Maryland; On-site; USD 209,000 - 247,000; Full time

Benefits offered by this job

Nyla FLEX program

Health care benefits

401k matching

Professional development $5,000/year

Student loan repayment program

Volunteer hours

Job summary

Nyla Technology Solutions is seeking an NLP/Data Scientist with TS/SCI clearance to design, develop, and deploy advanced ML and NLP pipelines. You will transform massive text and multimodal data into structured intelligence and build production-grade inference systems integrated into enterprise environments.

The role emphasizes collaboration with engineering teams to deploy state-of-the-art models and ensure scalable, reliable solutions.

Qualifications

• Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related discipline with 14+ years experience.
• Alternative: High School Diploma/GED with 18+ years of specialized technical experience in lieu of a degree.

Responsibilities

• Lead design, development, and deployment of advanced ML models and NLP pipelines.
• Transform massive unstructured text and multimodal datasets into structured intelligence.
• Develop production-grade inference pipelines and deploy models into enterprise environments.
• Collaborate with cross-functional engineering teams to integrate state-of-the-art models at scale.

Skills

NLP Frameworks

Production ML / MLOps

Data Manipulation & SQL

Model Evaluation

Computational Linguistics

Education

Bachelor’s Degree in Data Science/CS/Computational Linguistics

14+ years experience

High School Diploma / GED + 18+ years experience

Tools

Docker

Kubernetes

Triton

TorchServe

FastAPI

PyTorch

TensorFlow

Hugging Face Transformers

spaCy

Python

SQL

Job description

Nyla Technology Solutions is seeking an NLP/Data Scientist with TS/SCI clearance to design, develop, and deploy advanced ML and NLP pipelines. You will transform massive text and multimodal data into structured intelligence and build production-grade inference systems integrated into enterprise environments.

The role emphasizes collaboration with engineering teams to deploy state-of-the-art models and ensure scalable, reliable solutions.