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AI/ML Engineer / Data Scientist (remote)
14928 – AI/ML Engineer / Data Scientist (remote) – Juno Beach, FL
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12+ months with possible extensions
Work Setting: remote.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
• Experience developing machine-learning or advanced analytics solutions (4+ years).
• Experience with Python.
• Experience with common ML/data-science frameworks and libraries.
• Experience taking analytical or ML solutions from experimentation into production.
• Experience in statistics, experimentation, model evaluation and data analysis.
• Experience working with cloud-based data and compute environments.
• Experience with APIs, software-development practices, source control and CI/CD.
Preferred:
• 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.
• Experience with MLOps and model-monitoring practices.
Responsibilities:
• Design, develop, evaluate and deploy AI/ML capabilities within NextBrain.
• 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 for NextBrain.
• 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.
Why apply?
• Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
• Work with a great team of professionals and learn newest technologies and approaches;
• Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation;
• Benefit from multiple projects extensions;
• Receive support and advice from Vitaver consultants who are already working at our Client’s site;
• Get extra cash by participating in Vitaver Successful Completion Bonus Program;
• Always get paid in full and on time.
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12+ months with possible extensions
Work Setting: remote.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
• Experience developing machine-learning or advanced analytics solutions (4+ years).
• Experience with Python.
• Experience with common ML/data-science frameworks and libraries.
• Experience taking analytical or ML solutions from experimentation into production.
• Experience in statistics, experimentation, model evaluation and data analysis.
• Experience working with cloud-based data and compute environments.
• Experience with APIs, software-development practices, source control and CI/CD.
Preferred:
• 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.
• Experience with MLOps and model-monitoring practices.
Responsibilities:
• Design, develop, evaluate and deploy AI/ML capabilities within NextBrain.
• 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 for NextBrain.
• 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.
Why apply?
• Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
• Work with a great team of professionals and learn newest technologies and approaches;
• Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation;
• Benefit from multiple projects extensions;
• Receive support and advice from Vitaver consultants who are already working at our Client’s site;
• Get extra cash by participating in Vitaver Successful Completion Bonus Program;
• Always get paid in full and on time.