Machine Learning Engineer #1058742

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. Key Responsibilities 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 Required Qualifications 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, TensorFlow, 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 Preferred Experience Agentic AI systems, multi‑step workflows, autonomous agents, tool‑calling architectures Frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, etc. MLOps tools: MLflow, Airflow, Vertex AI, SageMaker, 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 Primary Skills Python, Machine Learning, Data Science, GCP, BigQuery Experience Requirements Engineer Level 3 6+ years of IT experience 4+ years of development experience Experience with 2 programming languages or advanced proficiency in 1 Additional Qualifications 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 Education Bachelor’s Degree required Benefits Medical and Dental (FastTek 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 #J-18808-Ljbffr FastTek Global