Sr. AI/ML Engineer (LLM)

About the Organization

Hello and thank you for considering a career with Bomnin Automotive! We are a family-owned and operated business that has been delivering excellence in the automotive industry since 2010. Our team is passionate about creating a diverse environment where all of our associates are supported and can build rewarding careers.

At Bomnin Automotive, we take pride in offering our associates extensive benefits and a culture that is geared towards providing them with vast growth opportunities. We believe in doing what's right for our associates, which is why we offer medical benefits with employer-paid contribution, dental, gap, vision, disability, cancer insurance, life insurance, and a retirement plan 401(k) with an employer match. We also offer PTO, paid holidays, and a flexible schedule to ensure that our associates have a healthy work-life balance.

In addition to our commitment to our associates, we are also passionate about giving back to our community. Our mission is not just about selling cars, but in providing hope, love, and strength to our community. Throughout the years we have supported causes in search for a cure to pediatric cancer; we have partnered with local non-profits that serve the under-privileged; and donated time and resources to schools, charitable organizations, and causes that are relevant and important to each of the community's we represent.

We are proud of our team and the work that we do, and we hope that you will consider joining us in our mission to deliver excellence in the automotive industry and make a positive impact on the community.

EOE Statement

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

Description

Job description

Company Description

Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector. Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture.

Role Description

This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance. Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company's software offerings.

Major Areas of Responsibility

Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features.

Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.

Collaborate with product managers, data scientist, and software engineers to integrate LLM-based automation into scalable solutions.

Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses.

Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.

Work on the customization and fine-tunning of models to optimize performance for specific use cases.

Develop, test, and deploy LLM-based services in production environments.

Provide AI/ML technical leadership and mentorship to other engineers on the team.

Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.

Position Requirements

Qualifications 5+ years of experience in machine learning, NLP, or related domain, with focus on large language models.

Proven experience working with foundational models in production environments.

Strong programming skills in Python with experience in relevant AI/ML libraries.

Knowledgeable in Statistics, Machine Learning concepts, and their real-world applications

Proven experience working with developing and optimizing large-scale AI/ML projects

Excellent problem-solving, teamwork, and communication skills

Ability to design and implement scalable machine learning models in production-ready environments

A graduate degree (Master's or PhD preferred) in Computer Science, Data Science, or a related field

Experience in the automotive or process automation industries is a plus

Industry Technology, Information and Internet

EEO Statement

The Company is committed to hiring a diverse and qualified workforce. We will not consider any characteristic or category protected by state or federal law in hiring or employment decisions, including but not limited to race, national origin, color, religion, sex, sexual orientation, gender identity, disability, age, status as a parent, or genetic information. Bomnin Automotive is an equal opportunity employer and a drug-free workplace.

Full-Time/Part-Time

Full-Time

Location

Dealer Automation Technologies

This position is currently accepting applications.