Active listing
Staff Machine Learning Engineer
About the role
Tekion is a cloud-native automotive platform that leverages big data, machine learning, and AI to transform retail and manufacturing experiences. The Staff Machine Learning Engineer will build and operate low‑latency ML services across Tekion’s suite of products, turning prototype models into production‑ready APIs. Responsibilities include designing scalable pipelines, orchestrating CI/CD, ensuring observability, and managing model lifecycle. The role requires deep expertise in LLMs, vector and graph stores, orchestration frameworks, and cloud infrastructure, with a focus on reliability, security, and cost optimization. Candidates will collaborate with data scientists, product managers, and architects to deliver enterprise‑grade ML solutions that drive measurable dealer and consumer outcomes.
What you’ll do
- Turn prototype models into reliable services with defined APIs
- Integrate with LLM Gateway/MCP and prompt/versioning
- Build and orchestrate CI/CD pipelines
- Review, refactor, and optimize data science models
- Collaborate with cross‑functional teams to design enterprise systems
- Monitor and mitigate LLM/agentic risks
- Implement prompt management and guardrails
- Design batch/stream pipelines and online features
- Build inference microservices with latency targets
- Manage model/feature lifecycle and observability
What you’ll bring
- Experience building production ML services
- Strong software engineering fundamentals
- Python proficiency
Nice to have
- 8-10 years in ML engineering/MLOps or backend/platform engineering
- Experience with LLMs, vector stores, and graph stores
- Hands‑on with LangChain, LlamaIndex, OpenAI Function Calling, AgentKit
- AWS expertise (IAM, ECS/EKS, S3, RDS/DynamoDB, Step Functions, Lambda)
- Docker/Kubernetes, REST/gRPC, observability (OpenTelemetry, Prometheus, Grafana)