Note: The job is a remote job and is open to candidates in USA. Accelint is a defense technology company that connects sensing to action across the connected battlespace. They are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing and large language models.
Responsibilities
- Design, develop, and maintain NLP pipelines for technical and structured document understanding, including information extraction, summarization, semantic search, and question answering
- Build and optimize LLM-powered applications using transformer-based models, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) architectures
- Process and analyze complex technical corpora, including engineering manuals, specifications, technical reports, drawings, tables, and figures
- Develop methods to convert unstructured and semi-structured documents into structured, machine-actionable knowledge for downstream applications
- Implement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch and Hugging Face
- Evaluate model performance, improve accuracy, and optimize inference pipelines for production environments
- Collaborate with cross-functional teams, including software engineers, data scientists, and subject matter experts, to define requirements and deliver AI-enabled document intelligence solutions
- Performs other duties as assigned
Skills
- Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field (or equivalent practical experience)
- 2-4 years of experience building NLP pipelines for technical or structured document understanding, including extraction, summarization, semantic search, and question answering
- Hands-on experience with large language models (LLMs) and transformer architectures (BERT and successor models), including fine-tuning, prompt engineering, pipeline orchestration, and retrieval-augmented generation (RAG)
- Experience processing complex technical documentation such as engineering manuals, specifications, technical artifacts, tables, and figures
- Strong proficiency in Python and modern machine learning frameworks, including PyTorch and Hugging Face Transformers
- Demonstrated experience converting unstructured text into structured, machine-actionable knowledge
- Currently holds an active U.S. national security clearance or be able to receive and maintain one
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field
- Experience deploying and maintaining production-scale NLP or LLM applications
- Familiarity with vector databases, embedding models, and semantic retrieval systems
- Experience with document parsing, OCR, layout-aware models, or multimodal document understanding
- Experience working with engineering, manufacturing, aerospace, defense, or other highly technical datasets
- Knowledge of MLOps practices, model monitoring, CI/CD pipelines, and cloud-based AI infrastructure
- Active-duty military experience
Benefits
- Paid Time Off
- Paid Company Holidays
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
Company Overview