Jobs · Engineering · Maryland

Mid-Level Machine Learning Engineer

Nyla Technology Solutions · Annapolis Junction, MD · 3 wk ago
On-siteEngineering$119k–$140k/yrFull-time

An active security clearance at the TS/SCI polygraph level is required.

About the role

We are seeking an innovative, analytical Data Scientist / Machine Learning Engineer to join our team in Annapolis Junction, MD, supporting advanced missile defense analytics and data modernization. In this role, you will pioneer artificial intelligence tools, machine learning models, and natural language processing (NLP) pipelines to triage, enrich, and mine massive, complex language datasets. You’ll develop novel analytical tools and techniques designed for data mining, qualitative characterization of missile defense datasets, and mission-critical pattern recognition.

Responsibilities

  • Develop, train, evaluate, and deploy machine learning models using modern frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Utilize NLP methodologies for text classification, entity extraction, data triage, and parsing large language datasets.
  • Design custom algorithms, data mining techniques, and qualitative characterization routines for massive data sets.
  • Build and maintain data transformation pipelines using Python and standard data science libraries (Pandas, NumPy, SciPy).

Requirements

  • Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Machine Learning, or a related quantitative field, plus 7+ years of professional data science or ML engineering experience.
  • OR Master’s Degree in a related quantitative discipline, plus 5+ years of specialized experience in AI/ML development and analytics.
  • OR High School Diploma / GED, plus 11+ years of technical experience in data science, machine learning, and advanced analytics in lieu of a degree.

Skills

Required

  • AI Tool Development & ML Modeling
  • Natural Language Processing (NLP)
  • Advanced Data Mining & Analysis
  • Programming & Data Science Tools (Python, Pandas, NumPy, SciPy)

Desired

  • Missile Defense & Threat Domain Knowledge: Experience analyzing defense telemetry, trajectory data, or performing qualitative characterization within missile defense mission areas.
  • Large Language Models (LLMs): Experience fine-tuning, prompting, or deploying LLMs for automated summarization and triage pipelines.
  • Cloud & Distributed Computing: Familiarity with training models or processing large datasets in cloud environments (AWS Sagemaker, EMR) or distributed platforms (Hadoop, Spark).
  • Data Visualization: Proficiency with data visualization packages (Matplotlib, Seaborn, Plotly) or dashboards to present complex analytical metrics to stakeholders.

About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning a solid reputation as technical trendsetters within the industry. Headquartered in Columbia, Maryland, our customers value how we tackle their most challenging problems and deliver impactful solutions.

Pay

The annual base salary range for this role is $119,000-$140,000 (USD), which does not include discretionary bonus compensation. Actual compensation may vary based on geographic location, work experience, education, and skill level.

Benefits

  • 4 weeks of Annual Leave plus 11 holidays, with an additional day of Annual Leave for each year of service.
  • Flexibility to cash out annual leave hours, opt out of other benefits, or arrange for additional contract hours (over 40 hrs/week).
  • Option to earn 1.3 times your hourly rate after working over 1,880 hours on contract.
  • Ability to buy additional annual leave for a total of 6 weeks (240 hours) plus 11 holidays.
  • Freedom to scale down to 30-32 hours per week while retaining full benefits.
  • 100% company-covered healthcare (medical, dental, and vision).
  • 10% 401k matching with full vesting on day one.
  • $5,000 per year for professional development (fees, tuition, or time off).
  • Student loan repayment program.
  • 8 hours of paid volunteering annually.

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