About this opportunity
Amtex Enterprises Inc. lists this AI Data Scientist opportunity in princeton, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title : AI Data Scientist
Duration: 6+ Months
Location: Can be fully remote. Candidates in EST or CST highly preferred.
We are looking for a senior practitioner who has successfully built and deployed at least one production-grade Retrieval Augmented Generation (RAG) solution. The ideal candidate should be capable of working across the full AI lifecycle, including ingestion, retrieval, modeling, APIs, testing, deployment, monitoring, and operational support.
The candidate should also have strong expertise in classical machine learning and statistics and be experienced in delivering explainable, auditable AI solutions within regulated, human-in-the-loop environments.
Here are additional details
Machine Learning & Applied AI
Strong background in supervised and unsupervised learning, including: Classification
Ranking
Clustering
Anomaly detection
Predictive modeling
Experience selecting evaluation metrics and designing representative test datasets
Hands-on experience with explainability techniques such as SHAP, LIME, and feature importance analysis
Experience designing human-in-the-loop AI systems with review, escalation, override, and feedback mechanisms
Generative AI & Retrieval
Production experience with: RAG architectures
Embeddings
Semantic search
Re-ranking
Prompt engineering
Vector databases
Experience building enterprise copilots, assistants, or document-grounded decision-support systems
Ability to evaluate retrieval quality, grounding, hallucination risk, answer quality, and failure modes
Experience with open-source or locally hosted LLMs preferred
Python & Software Engineering
Advanced Python skills, including: Pandas
NumPy
Scikit-learn
PyTorch (or similar deep learning framework)
Ability to develop maintainable, production-quality code rather than notebook-only solutions
Experience with: Git and code reviews
Unit and integration testing
CI/CD pipelines
API development
Docker or Podman
Experience with agentic development is a plus
Comfortable working in both local and cloud environments
Data Engineering & Integration
Strong SQL and ETL/ELT development skills
Experience integrating: REST APIs
Enterprise document repositories
Workflow systems
Batch and incremental data pipelines
Experience with PostgreSQL, SQL Server, data lake architectures, data lineage, and data quality controls
Ability to design resilient ingestion pipelines for documents, metadata, attachments, and changing source-system records
Enterprise AI, Governance & Operations
Experience implementing: Audit trails
Evidence and reasoning logs
Monitoring and telemetry
Operational diagnostics
Understanding of: AI governance
Security and privacy requirements
Model validation
Access controls
Traceability and records retention
Ability to design AI systems that support accountable human decision-making
Experience communicating confidence levels, limitations, failure modes, and operational boundaries
Preferred Technology Stack
Azure
Databricks
PostgreSQL with pgvector
Qdrant or similar vector databases
Ollama or other local/on-prem model serving platforms
OCR and document processing solutions
Knowledge graphs
Semantic evaluation frameworks
Agent orchestration tools
Experience deploying AI solutions in restricted, on-premises, or hybrid environments
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Worksite address
princeton, NJ, 08543, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.