Job#: 3054061 Job Description: Position Description:
Employees in this job function are responsible for designing, building, deploying and scaling complex self-running ML solutions in areas like computer vision, perception, localization etc. They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies, statistics, and coding for tool building and analysis.
Key Responsibilities:
- Collaborate with business and technology stakeholders to understand current and future ML requirements
- Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments
- Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure
- Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
- Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others.
- Train and re-train ML models and systems as required
- Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios
- Automate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps
- Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems
Skills Required:
Google Cloud Platform, 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:
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 Google Cloud Platform-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
Additional Information :
4 days on site
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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