Machine Learning Engineer II

Job Description

Job DescriptionMachine Learning Engineer IIPosition Overview

Our client is a leading energy company seeking a talented AI/ML Engineer to join their innovative technology team in Juno Beach, Florida. This 6-month contract role offers the opportunity to design, develop, and deploy cutting-edge machine learning models and AI solutions that enhance business operations and drive innovation in the clean energy sector.

Contract Details:

• Duration: 6 months
• Location: Juno Beach, FL 33408 (On-site)

Key Responsibilities

• Design, develop, and deploy machine learning models and AI solutions to address complex 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
• Implement AI/ML integration with Salesforce and other enterprise platforms
• Support model monitoring, performance tuning, and continuous improvement initiatives
• Develop and maintain comprehensive documentation for models, algorithms, and workflows
• Participate in Agile/Scrum methodology and code review processes
• Support generative AI initiatives and explore emerging technologies
• Mentor junior team members and knowledge sharing

Required Qualifications

• 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

What We Offer

• Competitive hourly rate of up to $33/hour
• Opportunity to work on cutting-edge AI/ML projects supporting clean energy initiatives
• Collaborative environment with industry-leading professionals
• Exposure to enterprise-scale AI implementations
• Professional development and learning opportunities