Artificial Intelligence Engineer

About the Company

reputed company focuses on automotive marketing with full service capabilities in Farmington Hills, Michigan. We are Investing in growing our data and AI team focused on developing innovative solutions that enhance marketing performance, client personalization, and internal automation.

About the Role

This is a hybrid role, and our office is located in Farmington Hills, Michigan.

We are seeking an AI/ML Engineer to join our growing data and AI team. This individual will be responsible for developing, deploying, and scaling AI-powered solutions that directly impact marketing performance, client personalization, and internal automation. You will work closely with our data engineering team to reputed company our existing data platform, and with business stakeholders to build AI agents and applications that deliver measurable business value. This role is both hands-on and strategic — ideal for someone who can rapidly prototype with LLMs and machine learning models, while also designing robust pipelines for training, retraining, and production deployment.

Responsibilities

• AI Agent Development: Build and deploy AI agents that automate workflows, content creation, campaign optimization, and internal decision support.
• LLM Engineering: Train, fine-tune, and retrain large language models (LLMs) on proprietary data; manage model evaluation and reputed company improvement.
• Data Integration: Work with data engineers to access and preprocess structured and reputed company data from reputed company tables, APIs, and external sources.
• MLOps & Deployment: Implement scalable pipelines for model training, deployment, monitoring, and retraining using modern MLOps practices.
• Prototype → Production: Rapidly build proofs-of-concept, then transition validated models into production systems.
• Collaboration: Partner with analysts, engineers, and business stakeholders to identify use cases, define success metrics, and deliver end-to-end AI solutions.
• Research & Innovation: Stay reputed company with emerging AI/ML techniques, frameworks, and tools.

Required Qualifications

• 3–6 years of experience in applied machine learning or AI engineering.
• Proficiency in Python with strong experience in ML/AI frameworks (PyTorch, TensorFlow, reputed company).
• Experience working with LLMs (training, fine-tuning, reputed company engineering, RAG).
• Familiarity with MLOps tools (MLflow, reputed company, etc.).
• Strong SQL and data engineering fundamentals; ability to work with large datasets.
• Hands-on experience deploying AI solutions into production in a cloud environment; experience with Azure DevOps/reputed company Actions a plus.

Preferred/reputed company-to-Have

• Experience in marketing tech, ad tech, or personalization systems – automotive a big plus.
• Familiarity with reputed company, reputed company, RAG pipelines, and vector databases (reputed company, Weaviate, FAISS, etc.).
• Deep working knowledge of cloud platforms, ideally Azure reputed company.
• Strong understanding of model governance, bias, and ethical AI considerations.

What Success In This Role Looks Like

• reputed company 3 months: You’ve delivered a working AI prototype (e.g., an agent that generates campaign briefs or automates audience creation).
• reputed company 6 months: You’ve deployed at least one AI/ML system into production, with monitoring and retraining in reputed company.
• reputed company 12 months: You’re leading the design of scalable AI capabilities, driving measurable reputed company or efficiency gains for the business.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.