[Remote] Senior Data Engineer- AI/ML (Remote)

Note: The job is a remote job and is open to candidates in USA. Ad Hoc LLC is a technology company that empowers organizations to deliver scalable, impactful digital services. The Senior Data Engineer will work on developing AI solutions for health guidance, implementing MLOps practices, and ensuring responsible AI frameworks to support public health initiatives.

Responsibilities

• The Senior AI/ML Engineer will build the adaptive intelligence capabilities that enable communication systems and/or platforms to deliver personalized, context-aware health guidance at population scale
• They'll develop a portfolio of AI solutions that may include conversational interfaces for health Q&A, prediction models for disease outbreak trends, content recommendation systems that surface relevant health information, and detection algorithms for health misinformation with the flexibility to pivot based on user research and HHSS priorities
• This engineer will establish MLOps practices that allow rapid experimentation while maintaining production stability, implement responsible AI frameworks that ensure equity and accuracy across diverse populations, and create modular AI components that can be composed into different features as needs emerge
• Working at the intersection of public health and machine learning, they'll build systems that augment stakeholder expertise rather than replace it to create AI tools that help epidemiologists analyze data faster, help communicators craft targeted messages, and help the public find trusted health information
• Their work ensures HHS stakeholders can leverage AI innovations responsibly, while maintaining the scientific rigor and public trust essential to HHS' mission
• Strong influential skills to propose and evaluate multiple approaches to technical and process problems
• Serves as a mentor to individuals within the team
• May leads small, less critical, or temporary team structures and projects
• Presents design documents, system diagrams, etc. to clients, stakeholders, partners, and other engineers
• Fully understands and consistently implements data engineering best practices
• Generates data architecture recommendations and demonstrates the ability to implement them
• Diagnoses and effectively resolves issues with the systems they own, using incidents to inform educational opportunities and system improvements
• Actively mentors and assists more junior engineers in the development of their skills
• Effectively communicates technical issues and developments with team members and clients
• Participates in technical interviews with new candidates Skills
• Bachelor's degree and 7+ years of experience + Relevant years of experience may be substituted for education
• Python with multiple ML frameworks (PyTorch/TensorFlow for deep learning, scikit-learn for traditional ML, LangChain/LlamaIndex for LLM applications) - Versatility to implement everything from simple classification to complex generative AI
• MLOps platforms (MLflow, Weights & Biases, or AWS SageMaker) - For experiment tracking, model versioning, and production deployment of various AI services that may evolve during development
• Embedding models and similarity search (Sentence Transformers, FAISS, OpenAI embeddings) - Foundation for semantic search, content recommendation, and information retrieval across any AI-powered feature
• Strong influential skills to propose and evaluate multiple approaches to technical and process problems
• Serves as a mentor to individuals within the team
• May leads small, less critical, or temporary team structures and projects
• Presents design documents, system diagrams, etc. to clients, stakeholders, partners, and other engineers
• Fully understands and consistently implements data engineering best practices
• Generates data architecture recommendations and demonstrates the ability to implement them
• Diagnoses and effectively resolves issues with the systems they own, using incidents to inform educational opportunities and system improvements
• Actively mentors and assists more junior engineers in the development of their skills
• Effectively communicates technical issues and developments with team members and clients
• Participates in technical interviews with new candidates
• Edge deployment frameworks (ONNX, TensorFlow Lite) - For potential mobile or browser-based AI features that process sensitive health data locally
• Explainable AI tools (SHAP, LIME, Captum) - To ensure transparency in AI decisions, especially important for public health recommendations Benefits
• Company-subsidized health, dental, and vision insurance
• Flexible PTO
• 401K with employer match
• Paid parental leave after one year of service
• Employee Assistance Program Company Overview
• Ad Hoc is a digital services company that helps the federal government better serve people. It was founded in 2014, and is headquartered in Washington, District of Columbia, USA, with a workforce of 501-1000 employees. Its website i

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