Machine Learning Engineer

Dearborn, MI (HYBRID/ONSITE)W2 CONTRACT ONLYOverviewWe are seeking an experienced AI Engineer to design, build, and deploy scalable AI solutions leveraging Machine Learning, LLMs, and Agentic AI. This role focuses on delivering production-ready systems that drive automation, efficiency, and measurable business impact within a cloud-based environment.Key ResponsibilitiesDevelop and deploy ML models (predictive, optimization, Generative AI)Build end-to-end AI pipelines (data ingestion ? modeling ? deployment ? monitoring)Design LLM-based applications (RAG, prompt orchestration, agentic workflows, tool integrations)Create APIs and AI services for enterprise integrationImplement MLOps practices (CI/CD, model monitoring, retraining)Optimize systems for scalability, performance, and reliabilityPartner with stakeholders to translate business needs into AI solutionsRequired QualificationsBachelor’s degree in Computer Science, Data Science, or related field6+ years IT experience; 4+ years in developmentStrong Python expertise (APIs, backend, automation)Experience deploying ML models in productionHands-on with LLMs, prompt engineering, Generative AIExperience with AWS or GCP (BigQuery preferred)Proficiency in ML frameworks (Scikit-learn, TensorFlow, PyTorch)Strong understanding of SDLC, testing, and deployment practicesPreferred / Nice To HaveExperience with Agentic AI, autonomous agents, tool-calling architecturesFamiliarity with LangChain, LlamaIndex, CrewAI, AutoGenMLOps tools: MLflow, Airflow, Vertex AI, SageMaker, KubeflowDocker, Kubernetes, and cloud-native architectureKnowledge of vector databases, embeddings, RAG, semantic searchExperience with large-scale data environments, ETL pipelines, data lakesCore SkillsPython, SQLMachine Learning & Deep LearningLLMs, RAG, Prompt Engineering, EmbeddingsAgentic AI / AI AgentsCloud (AWS or GCP)API Development (FastAPI / Flask)MLOps, CI/CD, Model Deployment & Monitoring