14393 – AI/ML Mid-Level Engineer (onsite) – Juno Beach, FL
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extensions
Work Setting: 100% of the time at the Client’s site. No telecommuting or remote work. This is a non-negotiable requirement from the client
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:
• Availability to work 100% of the time at the Client’s site in Juno Beach, FL (required);
• Experience in AI/ML development and implementation (3-5 years);
• Experience in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn);
• Experience with data engineering tools and ETL processes
• Experience with SQL and database technologies (SQL Server, PostgreSQL);
• Experience with cloud platforms (AWS, Azure) and ML services;
• Experience with model deployment and MLOps practices
• Experience with data visualization and analytics tools
• Bachelor's degree in Computer Science, Data Science, Mathematics, or related field
Preferred:
• Experience with Generative AI and Large Language Models (LLMs)
• Experience with Salesforce Einstein Analytics or AI integration
• Experience with NLP, computer vision, or deep learning applications
• Experience with DevOps practices and CI/CD pipelines
• Experience with AI governance and responsible AI principles
• Experience in energy or utility sector
• Master's degree or postgraduate certification in Machine Learning or AI
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
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