Graph Machine Learning Engineer (Network)
At Vailexa, we’re not just hiring — we’re building thinkers, creators, and future leaders.
We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you’re someone who wants to learn fast, take ownership, and grow beyond limits, you’ll feel right at home here.
Summary: We are seeking a talented Graph Machine Learning Engineer to join our team and drive the development of innovative graph-based machine learning models. The ideal candidate will leverage their expertise to solve complex problems and enhance our data-driven decision-making capabilities.
Responsibilities:
- Design and implement graph neural network models to extract insights from large datasets.
- Collaborate with cross-functional teams to integrate graph machine learning solutions into existing systems.
- Develop scalable algorithms for graph data processing and analysis.
- Perform data pre-processing and feature engineering to ensure high-quality model inputs.
- Stay up-to-date with the latest trends and advancements in graph machine learning.
- Conduct experiments to evaluate model performance and refine algorithms as necessary.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience in machine learning, with a focus on graph-based methods.
- Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or similar.
- Knowledge of graph databases and query languages (e.g., Neo4j, Cypher).
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Ready to take the next step?
If you’re excited about this role and ready to grow with a team that values ambition, ideas, and impact — we’d love to hear from you.
👉 Apply now and start building your journey with Vailexa.