Senior Software Engineer(Graph Machine Learning )

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Graph Machine Learning) based in India.

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.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Graph Machine Learning) based in India.

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.

Accountabilities:

• Lead the design, development, testing, deployment, and maintenance of production-grade machine learning solutions across the full software development lifecycle.
• Design and implement scalable Graph Machine Learning and Generative AI solutions that support intelligent, high-performance applications.
• Develop efficient, reliable, and maintainable ML code while enhancing existing machine learning libraries, frameworks, and engineering practices.
• Collaborate closely with software engineers, data scientists, and cross-functional teams to accelerate model development, validation, and deployment.
• Drive technical discussions, participate in architecture reviews and code reviews, and contribute to engineering best practices across the organization.
• Integrate machine learning models into large-scale cloud-based production systems while ensuring scalability, reliability, and operational excellence.
• Research and evaluate emerging AI technologies to continuously improve platform capabilities and product innovation.

Requirements:

• Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
• 8+ years of professional software engineering experience with end-to-end SDLC ownership.
• At least 5 years of hands-on experience designing, building, and deploying production machine learning solutions or platforms.
• Strong practical experience with Generative AI technologies, including Retrieval-Augmented Generation (RAG), AI Agents, and LLM fine-tuning.
• Experience building and operating distributed systems on cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Solid programming skills with the ability to develop high-performance, production-ready software.
• Strong analytical thinking and the ability to solve complex technical problems in ambiguous environments.
• Excellent collaboration and communication skills with experience working across multidisciplinary engineering teams.
• Preferred qualifications include a Master's or PhD in Computer Science or Machine Learning, experience with Graph ML technologies such as Graph Neural Networks (GNNs) or GraphRAG, and familiarity with big data technologies including Spark, Flink, Kafka, PySpark, Lakehouse architectures, Druid, Hudi, or AWS Glue.

Benefits:

• Fully remote opportunity with flexibility to work from anywhere in India.
• Opportunity to contribute to innovative AI, Graph Machine Learning, and cloud-native products.
• Exposure to cutting-edge technologies including Generative AI, distributed systems, and large-scale data platforms.
• Collaborative engineering culture with opportunities to influence technical strategy and architecture.
• High-impact projects with significant ownership and career growth potential.
• Opportunity to collaborate with experienced AI researchers, software engineers, and product teams.
• Competitive compensation package.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1