Senior AI and Machine Learning Research Engineer

Southern Glazer's - Miramar, FL

Full-time - Mid Level

Miramar, FL

Merchant Wholesalers, Nondurable Goods

About the position

The Senior AI and Machine Learning Research Engineer will play a pivotal role in Southern Glazer's Wine & Spirits' AI and ML team, focusing on the development and implementation of generative AI initiatives. This includes creating advanced systems for sales coaching, chatbots that provide data insights, and interactive recommendation engines. The position is designed to leverage cutting-edge AI technologies to enhance the digital product experience and drive sales growth for the company. As a key member of the team, the engineer will be responsible for designing, developing, and implementing advanced generative AI models tailored for various applications, including conversational AI and recommendation systems. Collaboration with cross-functional teams will be essential to identify opportunities for AI-driven solutions, translating business requirements into technical specifications. The engineer will also be tasked with building and optimizing large language models (LLMs) and other generative AI architectures to meet specific business needs. Additionally, the role involves developing and maintaining AI-powered chatbots and virtual assistants that provide data insights and interactive recommendations, ensuring the scalability, reliability, and efficiency of AI systems in production environments. Staying current with the latest advancements in generative AI is crucial, as the engineer will be expected to propose innovative solutions to improve existing processes. Mentoring junior team members and contributing to the overall growth of the AI team will also be part of the responsibilities. The engineer will prepare and present AI modeling results and analytical insights to stakeholders at various levels of the organization, making strong communication skills essential for explaining technical concepts to both technical and non-technical audiences.

Responsibilities

• Design, develop, and implement advanced generative AI models for applications including sales coaching, conversational AI, and recommendation systems.
• Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and translate business requirements into technical specifications.
• Build and optimize large language models (LLMs) and other generative AI architectures to suit specific business needs.
• Develop and maintain AI-powered chatbots and virtual assistants to provide data insights and interactive recommendations.
• Implement and fine-tune natural language processing (NLP) models for various applications within the company.
• Ensure the scalability, reliability, and efficiency of AI systems in production environments.
• Stay current with the latest advancements in generative AI and propose innovative solutions to improve existing processes.
• Mentor junior team members and contribute to the overall growth of the AI team.
• Prepare and present AI modeling results and analytical insights to stakeholders at various levels of the organization.

Requirements

• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or 2+ years of hands-on experience in developing and deploying machine learning and AI models, with a focus on generative AI and NLP.
• Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in Python and experience with big data technologies (e.g., Spark, Hadoop).
• Demonstrated experience in building and deploying large language models and generative AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
• Strong understanding of NLP techniques, including transformer architectures, attention mechanisms, and transfer learning.
• Experience with conversational AI, chatbot development, and recommendation systems.
• Excellent problem-solving skills and ability to translate complex business problems into AI solutions.
• Strong communication skills to explain technical concepts to both technical and non-technical audiences.
• Self-motivated with the ability to work independently and as part of a collaborative team.

Benefits

• Comprehensive medical and prescription drug coverage
• Dental and vision plans
• Tax-saving Flexible Spending Accounts
• Disability coverage
• Life insurance plans
• 401(k) plan
• Tuition reimbursement
• Wellness program
• Parental leave
• Vacation accrual
• Paid sick leave
• Continuous learning and career growth opportunities