Description

You will own the development and delivery of scalable, production-ready machine learning and knowledge graph pipelines.

Responsibilities

• Design and build production-grade Knowledge Graph services and microservices in Python.
• Develop intelligent agents that interact with and learn from Knowledge Graphs and structured data.
• Work with Kubernetes and cloud infrastructure to ensure reliable and scalable service deployment.
• Explore and integrate emerging tools in ML, semantic technologies, and distributed systems.
• Mentor junior engineers and perform code reviews to drive engineering excellence.

Required Skills

• 8+ years of hands-on experience in related fields.
• Familiarity with Machine Learning fundamentals.
• Strong competencies in Algorithms, Data Structures, Design Patterns, and Object-Oriented Programming.
• Proficiency in at least two server/client-side languages, such as Python or Go.
• Experience handling multi-terabyte datasets in scale-up and scale-out environments.
• Experience with cloud-based application development (AWS, GCP).
• Familiarity with Docker and Kubernetes.
• Knowledge of CI/CD Pipelines.
• Understanding of software design principles and extensibility.

Key Skills

Education

Any Graduate