AI​/ML Engineer

Overview

Responsibilities – AI/ML Engineer position in Juno Beach, FL. Key responsibilities include designing, developing, and deploying machine learning models and AI solutions to address business challenges; building and optimizing data pipelines for model training, testing, and deployment; collaborating with cross-functional teams to translate requirements into AI/ML solutions; implementing AI/ML integration with Salesforce and other enterprise platforms; supporting model monitoring, performance tuning, and continuous improvement initiatives;

developing and maintaining documentation for models, algorithms, and AI/ML workflows; participating in code reviews and adhering to best practices for AI/ML development; working within Agile/Scrum methodologies; supporting generative AI initiatives and exploring emerging AI technologies; mentoring junior team members and sharing knowledge across the team.

• Design, develop, and deploy machine learning models and AI solutions to address business challenges
• Build and optimize data pipelines for model training, testing, and deployment
• Collaborate with cross-functional teams including Data Engineers, Architects, and Business Analysts to translate requirements into AI/ML solutions
• Implement AI/ML integration with Salesforce and other enterprise platforms
• Support model monitoring, performance tuning, and continuous improvement initiatives
• Develop and maintain documentation for models, algorithms, and AI/ML workflows
• Participate in code reviews and adhere to best practices for AI/ML development
• Work within Agile/Scrum methodology, contributing to sprint planning and retrospectives
• Support generative AI initiatives and explore emerging AI technologies
• Mentor junior team members and share knowledge across the team

• Bachelor s degree in Computer Science, Data Science, Mathematics, or related field
• 3-5 years of hands-on experience in AI/ML development and implementation
• Strong proficiency in Python and ML frameworks (Tensor Flow, PyTorch, Scikit-learn)
• Experience with data engineering tools and ETL processes
• Knowledge of SQL and database technologies (SQL Server, Postgre
  
  SQL)
• Understanding of cloud platforms (AWS, Azure) and ML services
• Familiarity with model deployment and MLOps practices
• Experience with data visualization and analytics tools
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

• Master s degree or postgraduate certification in Machine Learning or AI
• Experience with Generative AI and Large Language Models (LLMs)
• Knowledge of Salesforce Einstein Analytics or AI integration
• Familiarity with NLP, computer vision, or deep learning applications
• Experience with Dev Ops practices and CI/CD pipelines
• Understanding of AI governance and responsible AI principles
• Prior experience in energy or utility sector

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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