Remote Position
[Remote] AI ML Engineer
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. NorthITE is seeking an AI Solutions Engineer to build secure AI/ML systems for regulated, audit-heavy environments. The role focuses on designing on-premises PII de-identification and tokenization pipelines, developing NLP and LLM-powered document understanding workflows, and implementing full-stack applications with secure data handling, auditability, and human-in-the-loop validation.
Responsibilities
- AI / NLP / Machine Learning
- LLM-based document understanding: prompt engineering, retrieval-augmented generation (RAG), structured/JSON output extraction
- NLP frameworks: spaCy, Hugging Face Transformers, LangChain (or equivalent orchestration)
- Model evaluation: precision/recall analysis, confidence calibration, human-in-the-loop validation
- Document parsing/OCR: Tesseract, AWS Textract, Azure Document Intelligence, PyMuPDF, python-docx, Apache Tika
- Experience building hybrid rules-engine plus ML systems (deterministic + probabilistic scoring)
- Tokenization/de-identification: format-preserving encryption, salted hashing, reversible pseudonymization
- Secure key management: HashiCorp Vault, AWS KMS, Azure Key Vault (or on-prem equivalent)
- Data loss prevention (DLP) principles for on-prem-to-model boundary control
- Back-end: Python (FastAPI/Django/Flask) or Java/C# equivalent; RESTful API design
- Front-end: React, Angular, or Vue for HR specialist-facing GUI
- Database: PostgreSQL, SQL Server, or similar; audit-log schema design
- Search/retrieval: Elasticsearch or OpenSearch
- Version control and CI/CD: Git, Jenkins/GitHub Actions/Azure DevOps
Skills
- • AI / NLP / Machine Learning
- • LLM-based document understanding: prompt engineering, retrieval-augmented generation (RAG), structured/JSON output extraction
- • NLP frameworks: spaCy, Hugging Face Transformers, LangChain (or equivalent orchestration)
- • Model evaluation: precision/recall analysis, confidence calibration, human-in-the-loop validation
- • Document parsing/OCR: Tesseract, AWS Textract, Azure Document Intelligence, PyMuPDF, python-docx, Apache Tika
- • Experience building hybrid rules-engine plus ML systems (deterministic + probabilistic scoring)
- • Tokenization/de-identification: format-preserving encryption, salted hashing, reversible pseudonymization
- • Secure key management: HashiCorp Vault, AWS KMS, Azure Key Vault (or on-prem equivalent)
- • Data loss prevention (DLP) principles for on-prem-to-model boundary control
- • Back-end: Python (FastAPI/Django/Flask) or Java/C# equivalent; RESTful API design
- • Front-end: React, Angular, or Vue for HR specialist-facing GUI
- • Database: PostgreSQL, SQL Server, or similar; audit-log schema design
- • Search/retrieval: Elasticsearch or OpenSearch
- • Version control and CI/CD: Git, Jenkins/GitHub Actions/Azure DevOps
- • Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field (or equivalent experience)
- • 5+ years of experience in AI/ML engineering, including NLP-based extraction and classification
- • Demonstrated experience designing on-prem PII de-identification/tokenization pipelines
- • Full-stack development experience (front-end GUI plus back-end/API architecture)
- • Experience building confidence-scoring or explainable-AI outputs for human-in-the-loop systems
- • Experience with agentic AI or multi-step LLM workflows
Benefits
- 100% Remote
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