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

· Engineer Level 3

· 6+ years of IT experience

· 4+ years of development experience

· Experience with 2 programming languages or advanced proficiency in 1

· 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

· 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

Additional Information:

· Strong experience required in production-grade AI systems, APIs, and cloud-native Deployments