Machine Learning Engineer

Machine Learning Engineer #1058742

Dearborn, Michigan

We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to transform business processes and improve operational efficiency. This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable, production‑ready AI systems that generate measurable business value. The ideal candidate will have hands‑on experience building and operationalizing AI/ML solutions in enterprise environments, with strong expertise in Generative AI, intelligent automation, and cloud‑native architectures.

• Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions
• Build end‑to‑end AI workflows including data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement
• Develop LLM‑based applications such as RAG systems, prompt orchestration, agentic workflows, and tool integrations
• Create scalable APIs and AI services integrated with enterprise systems
• Establish and maintain MLOps pipelines including automated training, deployment, monitoring, and retraining
• Ensure AI solutions are scalable, secure, reliable, and production‑ready
• Collaborate with business and technical stakeholders to translate requirements into AI‑driven solutions
• Monitor model performance and continuously improve based on feedback and metrics
• Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• Strong Python programming experience (backend development, APIs, automation)
• Experience deploying ML models in production environments
• Experience with ML frameworks (Scikit‑learn, Tensor Flow, PyTorch)
• Hands‑on experience with LLMs, prompt engineering, and Generative AI
• Experience working with cloud platforms (GCP and/or AWS)
• Strong understanding of SDLC, version control, testing, and deployment practices
• Excellent analytical, communication, and problem‑solving skills
• Ability to work in fast‑paced, agile environments

• Agentic AI systems, multi‑step workflows, autonomous agents, tool‑calling architectures
• Frameworks such as Lang Chain, Llama Index, CrewAI, Auto Gen, etc.
• MLOps tools: MLflow, Airflow, Vertex AI, Sage Maker, Kubeflow, etc.
• Docker and Kubernetes
• Vector databases, embeddings, RAG, semantic search
• Large‑scale enterprise data systems and data lakes
• AI system optimization (performance, cost, scalability)
• AI product or analytics platform development

• Python, Machine Learning, Data Science, GCP, Big Query

• Engineer Level 3
• 6+ years of IT experience
• 4+ years of development experience
• Experience with 2 programming languages or advanced proficiency in 1

• Self‑starter with ability to work independently
• Strong communicator across technical and non‑technical teams
• Collaborative and team‑oriented
• Innovative mindset with strong problem‑solving ability
• Results‑driven and focused on production impact

• Bachelor’s Degree required

• Medical and Dental (Fast Tek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar‑for‑dollar match