Senior Software Engineer (Graph Machine Learning)

About Veltris

Veltris is a Digital Product Engineering Services partner committed to driving technology-enabled transformation across enterprises, businesses, and industries. We specialize in delivering next-generation solutions for sectors including healthcare, technology, communications, manufacturing, and finance.

With a focus on innovation and acceleration, Veltris empowers clients to build, modernize, and scale intelligent products that deliver connected, AI-powered experiences. Our experience-centric approach, agile methodologies, and exceptional talent enable us to streamline product development, maximize platform ROI, and drive meaningful business outcomes across both digital and physical ecosystems.

In a strategic move to strengthen our healthcare offerings and expand industry capabilities, Veltris has acquired BPK Technologies. This acquisition enhances our domain expertise, broadens our go-to-market strategy, and positions us to deliver even greater value to enterprise and mid-market clients in healthcare and beyond.

Role Overview

Senior Software Engineer

Roles & Responsibilities

• Design and implement Graph ML models to analyze complex relationships within data using GNNs and graph databases.
• Collaborate with data scientists, ML engineers, and product teams to define data-driven solutions using modern Graph ML technologies.
• Integrate Graph ML models into production systems and scale them using cloud-native infrastructure.
• Build robust and scalable data pipelines and APIs for ML model serving and analytics.
• Ensure best practices in code quality, CI/CD, version control, and cloud deployments.
• Continuously research and experiment with emerging tools and frameworks in the Graph ML and AI Agent space.

Tech Stacks:

• GraphML:

  GNN, Neptune, Neo4J, GraphRAG

• Languages:

  Python / Java

• CI/CD:

  GitHub Actions / Jenkins

• Cloud:

  AWS Serverless or Kubernetes

• Infrastructure as Code (IaC):

  Terraform

Preferred Qualifications

• B.Tech / M.Tech / Ph.D. in Computer Science or a related engineering discipline.
• Strong understanding of machine learning, graph theory, and distributed systems.

Disclaimer

The information provided herein is for general informational purposes only and reflects the current strategic direction and service offerings of Veltris. While we strive for accuracy, Veltris makes no representations or warranties regarding the completeness, reliability, or suitability of the information for any specific purpose. Any statements related to business growth, acquisitions, or future plans, including the acquisition of BPK Technologies, are subject to change without notice and do not constitute a binding commitment. Veltris reserves the right to modify its strategies, services, or business relationships at its sole discretion. For the most up-to-date and detailed information, please contact Veltris directly.