Data Scientist/ML Engineer

Machine Learning Engineer

Location: Resources will be in office 4 days a week in Dearborn, MI Job type: Direct hire – Full time 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 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 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 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 Strong experience required in production-grade AI systems, APIs, and cloud-native Deployments