Machine Learning Engineer

V2Soft Job Opportunity

V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!

Skills Required: GCP, Big Query, Python, Java, Cloud Infrastructure, Artificial Intelligence & Expert Systems Skills Preferred: Graph Layer • Design, develop, test, and deploy the ISDP knowledge graph from the domain event store to Production using cloud-native data pipelines. • Model and evolve the graph's entities and relationships as new data sources are onboarded. MCP serving layer • Design, build, and operate the MCP server that exposes the ISDP graph layer and event store as tools to consumers — including GQL graph query, event-store query, and schema/DDL discovery. • Define tool contracts, context, and guardrails so agents produce grounded, accurate, non-hallucinated responses over the graph. • Ensure low-latency, secure, and cost-efficient serving for interactive and batch agent workloads. Reliability, monitoring & observability • Own monitoring and observability of the graph layer and the MCP server — data freshness, pipeline health, query latency/cost, tool-call success rates, and answer quality. • Instrument SLOs, dashboards, alerting, and tracing; drive incident response and continuous reliability improvements. Collaboration & data onboarding • Partner with Data Engineers and Application Data Source Owners across Product Development, Manufacturing, Quality, and Supply Chain to ingest and validate their data into ISDP. • Establish data contracts, schema validation, and quality checks; support source owners through onboarding, mapping to the ISDP logical model, and troubleshooting. • Contribute to data governance, cataloging, and lineage for the graph and its sources. Experience Required: Engineer 2 Exp.: Practitioner: 1 coding language or framework. 7+ years in IT; 3+ years in development 2+ Years in AI and Graph Engineering • Strong software engineering in Java, Python, with production-grade testing, CI/CD, and code quality practices. • Hands-on experience deploying data/AI systems to Production on a GCP-native stack: Vertex AI, BigQuery, Dataflow / Apache Beam, Pub/Sub, Cloud Run / GKE, Cloud Storage, and Cloud Build / Artifact Registry. • Experience with graph data modeling and querying — property graphs and GQL / graph query patterns (BigQuery property graphs, or equivalent such as Neo4j/Spanner Graph). • Hands-on experience with Vertex AI (Agents, model serving, embeddings) and evaluation of agent answer quality. • Experience building LLM/agent systems: tool-use, RAG/grounding, and integrating models via APIs (e.g., Vertex AI or enterprise LLM gateways). Familiarity with MCP or comparable agent tool protocols. • Observability expertise: Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting for data pipelines and services. • Infrastructure as Code (Terraform) and secure-by-default engineering (IAM, least privilege, secrets management). • Ability to work directly with data producers to model and validate real-world industrial/enterprise data. Experience Preferred: • Familiarity with Dataplex / Data Catalog for governance, lineage, and business glossaries. • Streaming/CDC and event-driven architectures; append-only/event-sourced data modeling. • Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. • Domain exposure to PLM / product development, manufacturing execution, quality, or supply-chain systems and their data. • Data quality frameworks, schema evolution, and blue-green/zero-downtime data deployments. Education Required: Bachelor's Degree