Details: For quick apply, please reach out to Navneet Pathak at 248-213-3677/[email protected] We are seeking a Machine Learning Engineer to design, build, deploy, and scale complex machine learning and AI solutions. This role will focus on developing production-ready ML systems, scalable cloud infrastructure, machine learning pipelines, Knowledge Graph solutions, and GenAI/LLM applications. The ideal candidate will have strong software engineering skills in Python and Java, hands-on experience with GCP and Vertex AI, and experience working with AI/ML, data pipelines, graph technologies, and MLOps. Responsibilities • Design and develop innovative machine learning models and software algorithms to solve complex business problems. • Build, maintain, and optimize scalable ML pipelines, architecture, and infrastructure. • Train, retrain, deploy, and manage ML models in production environments. • Automate ML model deployment and training using CI/CD/CT and MLOps practices. • Develop solutions involving computer vision, object detection, classification, tracking, and other ML applications. • Build and deploy Knowledge Graph solutions using cloud-native data pipelines. • Design and maintain graph entities, relationships, and data models. • Develop and operate MCP services that expose graph and event-store data to AI agents. • Build LLM and agent-based solutions using tools such as RAG, grounding, and enterprise AI APIs. • Develop monitoring, observability, dashboards, alerting, and tracing for AI/data systems. • Partner with data engineers and application teams to onboard and validate enterprise data. • Establish data contracts, schema validation, quality checks, governance, and data lineage. Job Requirements Details: Experience Required • 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 GCP 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. Experience Preferred • 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. Education Required • Bachelor's Degree #LI-NP1 #LI-ONSITE Pay Range: $ 61.00 - $ 66.00