Machine Learning Engineer (W2 only)

1. Bachelor Degree is REQUIRED

2. 7+ years of IT experience, 3+ years of software development experience, 2+ years of AI and Graph Engineering experience.

3. Strong Python and Java development skills.

4. Experience with Google Cloud Platform and cloud-native AI/data platforms, Hands-on experience with Vertex AI and BigQuery, Experience with Dataflow/Apache Beam, Pub/Sub, Cloud Run/GKE, and Cloud Storage.

5. Experience with graph data modeling and querying, including GQL, Neo4j, Spanner Graph, or similar technologies.

6. Experience building LLM/AI agent systems, RAG, grounding, and model integrations.

Required Skills & Experience

• 7+ years of IT experience.
• 3+ years of software development experience.
• 2+ years of AI and Graph Engineering experience.
• Strong Python and Java development skills.
• Experience with Google Cloud Platform and cloud-native AI/data platforms.
• Hands-on experience with Vertex AI and BigQuery.
• Experience with Dataflow/Apache Beam, Pub/Sub, Cloud Run/GKE, and Cloud Storage.
• Experience with graph data modeling and querying, including GQL, Neo4j, Spanner Graph, or similar technologies.
• Experience building LLM/AI agent systems, RAG, grounding, and model integrations.
• Familiarity with MCP or similar agent tool protocols.
• Experience with MLOps, CI/CD, and production deployments.
• Experience with Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting.
• Experience with Terraform, IAM, security, and secrets management.
• Ability to work with data producers to model and validate enterprise data.

 

Preferred Experience

• Dataplex or Data Catalog.
• Streaming/CDC and event-driven architectures.
• Event-sourced data modeling.
• User-facing applications and dashboards using Knowledge Graph data.
• Experience with product development, manufacturing, quality, or supply-chain data.
• Data quality frameworks and schema evolution.
• Blue-green or zero-downtime deployments.