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

🕒 Setembro 30

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $130.000 - $175.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Intertwine Associates

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2025

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Intertwine Associates é uma empresa de consultoria estratégica e excelência operacional que faz parceria com agências federais, instituições acadêmicas e organizações científicas para melhorar o desempenho e implementar mudanças duradouras. A empresa oferece serviços de consultoria estratégica, excelência operacional, suporte a contratos governamentais, consultoria científica e gestão de implementação e mudança, com foco na construção de equipes resilientes, estruturas práticas e impacto mensurável. Com sede em Mt. Pleasant, Carolina do Sul, a Intertwine enfatiza eficiência, profissionalismo e engajamento orientado por resultados para clientes do setor público e de pesquisa.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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