Senior Software Engineer (Graph Machine Learning)

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and deliver production-ready ML solutions, collaborate with cross-functional teams, and drive technical discussions. Requires 8+ years of experience and expertise in Graph ML and Generative AI.

Key Highlights

Lead end-to-end ML solution development

Design scalable Graph ML and Generative AI solutions

Collaborate with engineers and data scientists

Drive technical discussions and architecture reviews

Key Responsibilities

Lead the design, development, testing, deployment, and maintenance of production-grade ML solutions

Design and implement scalable Graph ML and Generative AI solutions

Develop efficient, reliable, and maintainable ML code

Collaborate with software engineers, data scientists, and cross-functional teams

Integrate ML models into large-scale cloud-based production systems

Research and evaluate emerging AI technologies

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Technical Skills Required

Graph Machine Learning Generative AI Cloud Platforms (AWS, Azure, GCP)

Benefits & Perks

Fully remote opportunity

Exposure to cutting-edge technologies

High-impact projects with significant ownership

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Nice to Have

Experience with GraphRAG, GNNs, Spark, Flink, Kafka, PySpark, Lakehouse architectures, Druid, Hudi, or AWS Glue

Master's or PhD in Computer Science or Machine Learning

Job Description

This is an exciting opportunity to help build next-generation AI-powered products that combine Graph Machine Learning, Generative AI, and large-scale distributed systems. In this role, you will design and deliver production-ready machine learning solutions that solve complex real-world challenges while shaping the technical direction of innovative platforms. Working alongside experienced engineers and data scientists, you will contribute to advanced AI capabilities, scalable cloud architectures, and intelligent automation systems. The position offers significant ownership, technical influence, and the opportunity to work on cutting-edge technologies in a collaborative, fast-paced, and remote-friendly environment.

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