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$51.50 - $71/hr Estimated pay, Full‑time. 6‑month contract (1099) position with potential to become permanent (W2). Posted 17 hours ago.
Job Description The
AI Developer & Business Analyst
will join our team as one of the Python developers for Enterprise Analytics project to solve business intelligence challenges. The position requires deep technical expertise in Python, Git, SQL, BI tools, ETL, and data profiling, combined with hands‑on experience building AI pipelines from document ingestion through labeling and model deployment.
The ideal candidate will have an active BI or NACLC Public Trust security clearance, be a confident leader experienced in performing day‑to‑day tasks, a critical thinker and self‑starter who takes ownership of assignments. Previous consulting experience using an agile delivery methodology is a plus.
Responsibilities
Design, build, and deploy end‑to‑end AI pipelines for content moderation including production ML models for compliance classification and active learning workflows enabling human‑in‑the‑loop label review and validation.
Engage with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics.
Extract text/tables from PDF documents using OCR (Tesseract, AWS Textract, Azure Form Recognizer).
Create/build labeling pipelines for training datasets from document corpora.
Train custom ML models (NLP/OCR) for document classification, extraction, entity recognition.
Implement end‑to‑end pipeline: PDF → labeling → training → inference → API serving.
Version control all code, datasets, and models using Git (DVC for ML datasets preferred).
Deploy models as REST APIs (FastAPI) for production document processing.
Requirements
Security Clearance: Must possess active BI or NACLC Public Trust security clearance.
Bachelor’s degree with 7 years preferred strong analytical, problem‑solving, planning, organizational and project management skills.
Excellent innovation, interpersonal, and communication skills required.
At least 5 years of work experience in an analytical role.
Python 3+ with ML frameworks (PyTorch/TensorFlow, Transformers).
Document processing: PyMuPDF, pdfplumber, OCR tools, layout parsing.
Data labeling/annotation experience (LabelStudio, Prodigy).
Model training lifecycle: preprocessing, augmentation, validation, fine‑tuning.
Git proficiency (branching, MLflow/DVC integration).
SQL/Pandas for data handling.
SAS and Tableau development experience a plus.
Desired
Extensive experience in Python development with AI/ML frameworks (PyTorch, scikit‑learn, Transformers).
Proven experience with document AI: PyMuPDF, pdfplumber, OCR processing.
Strong Git proficiency and production ML deployment (Docker, FastAPI).
ETL pipeline development and SQL database integration.
Dashboard development: Streamlit, Gradio, or BI tools.
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Languages
- English
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