Senior Software Engineer (Graph Machine Learning Engineer)
About the job
Are you excited about the prospect of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us. This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You’ll help define every aspect of the user journey, product vision, and technical roadmap—driving innovation from concept to delivery. There has never been a better time to join Veltris. With multiple acquisitions expanding our portfolio and market strategy, we’re experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Veltris is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences—not despite them. Our AI Core group is pioneering platforms and solutions for Generative AI from AI Agents, RAG, and Knowledge Bases to Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Veltris products while enabling entirely new offerings. Together, we’re driving a fundamental shift in how businesses manage networks—building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Veltris, innovation isn’t just encouraged—it’s expected. Advance with us and help shape the future of network intelligence. **Job Responsibilities** • Serve as a thought leader and forward thinker—driving innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation • Lead the full software development lifecycle (design, testing, deployment, and operations), guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation • Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks • Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale **Requirements** • Degree in Computer Science, Mathematics, or a related field • 8+ years of full SDLC experience (design, coding, reviews, testing, deployment, operations) • 5+ years of experience building and deploying end-to-end ML solutions or platforms in production • Hands-on experience developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production • Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP) • Strong ability to solve complex, ambiguous problems **Preferred Qualifications** • MS/PhD in Computer Science, Machine Learning, or a related discipline • Experience with GraphML and Graph technologies (e.g., GNNs, Graph RAG) • Experience with distributed Big Data technologies (e.g., Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue)
Requirements
- Machine Learning
- Generative AI
- Cloud Computing
- Big Data
- Data Mining
Qualifications
- Degree in Computer Science, Mathematics
- MS/PhD in related discipline
Preferred Technologies
- Machine Learning
- Generative AI
- Cloud Computing
- Big Data
- Data Mining
About the company
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. In a strategic move to strengthen our healthcare offerings and expand industry capabilities, Veltris has acquired BPK Technologies.
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