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Ref: #70434

Senior AI/ML Engineer

Senior AI/ML Engineer

Next Ventures  Herndon, Virginia, United States (Hybrid)
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Senior Data Engineer (AI/ML & NLP)

Clearance: Secret

Location: Herndon, VA

 

About the Role

We’re seeking an experienced Senior Data Engineer / Machine Learning Engineer with a strong background in Natural Language Processing (NLP) and AI/ML systems to design, build, and deploy scalable solutions supporting Department of Defense (DoD) data missions.

This role involves applying cutting-edge techniques in large language models (LLMs), retrieval-augmented generation (RAG), semantic search, and distributed data processing to deliver secure, production-grade AI capabilities. You’ll collaborate closely with cross-functional teams to operationalize advanced ML systems that transform how large-scale data is processed, analyzed, and understood.

 

Key Responsibilities

  • Design, develop, test, and maintain scalable AI/ML pipelines using Python and Databricks to support diverse DoD technical missions.
  • Build and deploy NLP solutions leveraging context extraction, topic modeling, and embedding-based methods (e.g., RAKE, TF-IDF, word/sentence embeddings).
  • Develop and operationalize GPU-accelerated ML models across distributed environments (Spark, Databricks, Kubernetes).
  • Utilize libraries and frameworks such as Spark NLP, Hugging Face, and TensorFlow to build and refine production-ready models.
  • Implement MLOps practices with MLflow for model lifecycle management, versioning, and reproducibility.
  • Integrate AI and ML solutions with Elasticsearch and Neo4j to enable semantic search, graph analytics, and knowledge discovery.
  • Collaborate with software engineers, data scientists, and mission stakeholders to deliver robust, scalable AI capabilities.
  • Drive innovation by contributing to shared ML tools, frameworks, and best practices across teams.
  • Ensure compliance, traceability, and data security in all AI/ML workflows in alignment with federal standards.
  • Support strategic planning and R&D for emerging AI/ML capabilities and infrastructure design.

 

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering, ML engineering, or AI-focused roles.
  • Proven expertise in NLP, LLMs, semantic search, text embeddings, and generative AI.
  • Strong proficiency in Python, including experience with Flask APIs and reusable ML utilities.
  • Hands-on experience with Databricks, Apache Spark, and distributed data processing.
  • Deep familiarity with MLOps, including MLflow for tracking, deployment, and automation.
  • Experience developing and optimizing GPU-based models in production environments.
  • Working knowledge of Elasticsearch and Neo4j (preferred).
  • Solid understanding of data preprocessing, feature engineering, and model evaluation at scale.
  • Proficiency with Git and collaborative development workflows.
  • Experience working with large-scale datasets and strong command of SQL and data visualization tools.

 

Nice to Have

  • Exposure to federal data environments or defense-related missions.
  • Knowledge of additional ML subfields such as computer vision, reinforcement learning, or advanced statistical modeling.
  • Experience architecting secure, cloud-native ML systems using AWS, Azure, or GCP.
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