AI/ML Engineer

Responsibilities

Kforce has a client in Juno Beach, FL that is seeking an AI/ML Engineer. Key Responsibilities:

• 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
  
  

Requirements

• 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 (TensorFlow, PyTorch, Scikit-learn)
• Experience with data engineering tools and ETL processes
• Knowledge of SQL and database technologies (SQL Server, PostgreSQL)
• 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
  
  

Preferred Qualifications

• 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 DevOps 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.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

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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