Senior AI/Data Engineer, Data Platforms, Machine Learning, Applied AI

🕒 September 30

🇺🇸 United States – Remote

💵 $130k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Intertwine Associates

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Intertwine Associates is a strategic consulting and operational-excellence firm that partners with federal agencies, academic institutions, and scientific organizations to improve performance and implement lasting change. The firm offers services including strategic consulting, operational excellence, government contracting support, scientific advisory, and implementation & change management, with a focus on building resilient teams, practical frameworks, and measurable impact. Based in Mt. Pleasant, South Carolina, Intertwine emphasizes efficiency, professionalism, and results-driven engagement for public-sector and research clients.

📋 Description

• Architect and lead delivery of enterprise data platforms and pipelines on Azure or equivalent cloud services • Set standards for ETL design, schema enforcement, data validation, quality checks, and data lineage • Review other engineers' work against established standards • Design, build, and deploy machine learning and AI solutions, including large language model applications, retrieval-augmented generation, document understanding, and agentic workflows • Implement evaluation and guardrails for AI solutions • Build secure API endpoints and microservices for analytics and ML platforms • Establish MLOps practices including experiment tracking, model registries, CI/CD, containers, monitoring, and cost and performance tuning • Apply data and AI governance for compliance, reproducibility, auditability, and responsible AI • Apply federal frameworks such as the NIST AI Risk Management Framework • Translate mission and business needs into technical roadmaps, estimates, and client leadership briefings • Work directly with client program leadership, architects, data scientists, and governance teams • Advise on technical direction and represent Intertwine Associates and clients professionally • Mentor engineers and data scientists • Lead technical work across multidisciplinary teams

🎯 Requirements

• 7+ years of experience building data pipelines, machine learning systems, or AI applications in production • 2+ years leading technical work • Expert Python, including Pandas and NumPy • Advanced SQL • Experience integrating relational and unstructured data sources • Deep hands-on experience with Azure data services, or equivalent AWS or Google Cloud experience • Production experience with PyTorch, TensorFlow, or scikit-learn • Experience with data validation, schema enforcement, quality assurance, and governance in regulated environments • Experience designing APIs and microservices for analytics and ML platforms • Excellent written and verbal communication, including briefing senior, non-technical audiences • U.S. citizenship or lawful permanent residency may be required per contract • Ability to obtain a federal government Public Trust or security clearance where required • Bachelor's or advanced degree in Computer Science, Data Science, Statistics, Engineering, or a related field, or equivalent professional experience • Experience with large language model applications, retrieval-augmented generation, embeddings, vector databases, evaluation, and guardrails • Microsoft Azure certifications or equivalent AWS or Google Cloud certifications • Experience with Databricks, Snowflake, Microsoft Fabric, or similar enterprise-scale data platforms • Familiarity with FedRAMP, FISMA, and federal data security requirements • Experience supporting a federal agency, or health, scientific, or research data • An active federal Public Trust or security clearance is an additional qualification

🏖️ Benefits

• Discretionary bonuses • Signing or retention incentives • Other variable compensation may be available • Remote work • Occasional travel • Equal employment opportunity and inclusive workplace commitments