Applied AI/ML Engineer / Data Scientist
Indexed description
Location: Juno Beach, Florida (Remote)
Role Overview
We are seeking an Applied AI/ML Engineer / Data Scientist to develop and operationalize the intelligence layer of an enterprise platform. This role will combine data science, machine learning, generative AI, and software engineering to create intelligent capabilities that help users understand operational information, diagnose issues, identify anomalies, retrieve knowledge, and make better decisions. This position emphasizes taking AI capabilities from experimentation through production deployment and evaluation.
Key Responsibilities
- Design, develop, evaluate, and deploy AI/ML capabilities.
- Develop analytical models for anomaly detection, asset health, forecasting, classification, and other operational use cases.
- Develop generative AI and agentic capabilities using enterprise-approved foundation models and AI platforms.
- Design prompts, tools, agents, workflows, and orchestration patterns.
- Develop Retrieval-Augmented Generation and knowledge-retrieval solutions when appropriate.
- Create rigorous evaluation frameworks for LLM and agent behavior.
- Establish metrics for model accuracy, relevance, reliability, hallucination, latency, and cost.
- Develop guardrails and validation mechanisms for AI-generated responses.
- Collaborate with Data Engineering to define training, inference, retrieval, and feature-data requirements.
- Collaborate with the Full Stack/Cloud Engineer to deploy AI services into production.
- Develop prototypes rapidly while designing solutions that can transition into production.
- Monitor model and agent performance and continuously improve deployed capabilities.
- Communicate model behavior and analytical findings to engineers, product stakeholders, and operational subject-matter experts.
- Stay current with emerging AI, agentic AI, ML, and data-science technologies and assess their applicability.
Experience: A minimum of 4+ years of experience developing machine-learning or advanced analytics solutions is necessary. Experience taking analytical or ML solutions from experimentation into production is also required.
Technical Skills: Strong Python skills are required, along with experience with common ML/data-science frameworks and libraries. Candidates must have a strong foundation in statistics, experimentation, model evaluation, and data analysis. Experience with cloud-based data and compute environments, APIs, software-development practices, source control, and CI/CD is also needed. A demonstrated ability to translate business or operational problems into analytical approaches is essential.
Preferred Qualifications
- Hands-on experience developing applications using LLMs.
- Experience with agentic frameworks, tool calling, MCP, or similar AI orchestration technologies.
- Experience with RAG, embeddings, vector search, and knowledge-management architectures.
- Experience implementing systematic LLM evaluation and guardrails.
- Experience with AWS AI/ML services.
- Experience with time-series analytics and anomaly detection.
- Experience with industrial, energy, renewable-generation, BESS, or operational datasets.
- Familiarity with MLOps and model-monitoring practices.
Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.
NYSE: EFOR
4400 Cox Road
Suite 200
Glen Allen, Virginia 23060
Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.
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