Data Preprocessing Jobs in Port Salerno, FL (NOW HIRING)

Requisition ID: 95280
NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us!
Position Specific Description
We are seeking a Data Scientist with strong expertise in Machine Learning (ML) and Generative AI (LLMs) to design, develop, and deploy intelligent, data-driven solutions within a modern cloud environment.
This role involves close collaboration with data engineers and business stakeholders to build and operationalize production-grade AI systems using AWS and cutting-edge LLM frameworks.
Core Responsibilities

• Design, develop, and deploy machine learning and generative AI models to address complex business challenges and enhance decision-making.
• Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources.
• Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers.
• Collaborate with engineering teams to ensure scalable data ingestion, ETL/ELT workflows, and model deployment across cloud environments.
• Communicate technical insights and analytical results clearly to both technical and non-technical audiences.
• Contribute to Agile development processes and maintain code through Git/GitHub, CI/CD automation, and infrastructure-as-code (CloudFormation or equivalent).
• Preferred Qualifications
• 2+ years of hands-on experience with Large Language Models (LLMs) or Generative AI, such as GPT, Claude, Llama, or Mistral.
• Proficiency in Python and key libraries including pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
• Experience implementing RAG architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), or LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, CrewAI, LangGraph).
• Practical experience working with AWS services (SageMaker, Lambda, S3, RDS, etc.).
• Strong foundation in statistics, linear algebra, and optimization for model design and evaluation.
• Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib.
• Familiarity with big data technologies such as Spark, Databricks, or Snowflake.
• Deep understanding of machine learning algorithms, data preprocessing, and model evaluation techniques.
• Strong problem-solving abilities with a focus on reproducibility, scalability, and model governance.
• Excellent communication skills, with the ability to translate complex analytical findings into actionable business insights.
• Demonstrated curiosity and enthusiasm for staying current with advances in AI, Generative AI, and ML infrastructure.
• Proven ability to work effectively in Agile and cross-functional team environments.

Nice to Have

• Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen).
• 2+ years of experience in applied data science or machine learning.
• At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems.
• Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms.
• Knowledge of energy market data, time-series forecasting, or optimization modeling.
• Familiarity with reinforcement learning, probabilistic modeling, or stochastic optimization techniques.

Job Overview
This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. "Big Data").
Job Duties & Responsibilities

• Develops machine learning, optimization and other modeling solutions
• Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
• Works with a variety of datasets, including timeseries data and "big data" requiring analysis on distributed computing platforms
• Writes software in R, Python or similar languages and contributes code to product development teams
• Performs other job-related duties as assigned

Required Qualifications

• Bachelor's Degree
• Experience: 2+ years

Preferred Qualifications

• Master's Degree
• Doctoral Degree

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.
Employee Group: Exempt
Employee Type: Full Time
Job Category: Science, Research, and Technology
Organization: NextEra Energy Resources, LLC
Relocation Provided: No
NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.
NextEra Energy and provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you.
NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
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