Senior Software Engineer(Graph Machine Learning ) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Graph Machine Learning, AI Solutions, Machine Learning, Big Data, Cloud Platforms, Generative AI, Distributed Systems, Collaboration, Mentorship, Analytical Skills, Software Development Lifecycle, Real-Time ML Platforms, Architecture Decisions, Technical Strategy, Optimization Techniques, Problem Solving

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer (Graph Machine Learning) in India. This role offers the opportunity to shape the future of AI-driven network management by developing cutting-edge Graph Machine Learning solutions. You will work on greenfield projects, driving innovation across Generative AI, Machine Learning, Big Data, and Cloud platforms. The position involves full ownership of the software development lifecycle, from design and implementation to deployment and operations, and provides a chance to collaborate with a diverse team of engineers and scientists. This role is ideal for candidates passionate about building high-performance, production-ready ML platforms and integrating advanced algorithms into real-world applications. You will influence product vision, technical architecture, and delivery of transformative AI solutions that have global impact. The work environment combines technical autonomy with opportunities for mentorship and strategic guidance, fostering innovation at every stage. Accountabilities: · Lead the design, development, and deployment of advanced Graph Machine Learning and AI solutions. · Build and extend high-performance, production-ready ML code for real-time ML platforms. · Drive the full software development lifecycle, including design, code review, testing, deployment, and operations. · Collaborate with ML scientists and engineers to accelerate model experimentation, validation, and integration into scalable production systems. · Participate in architecture decisions, technical strategy, and roadmap planning for AI platforms. · Mentor junior engineers and provide guidance on best practices, design patterns, and optimization techniques. · Champion innovative solutions and forward-thinking approaches across products and platforms. · Bachelor’s degree in Computer Science, Mathematics, or a related field (MS/PhD preferred). · 8+ years of experience across the full software development lifecycle (design, coding, testing, deployment, operations). · 5+ years of hands-on experience building and deploying end-to-end ML solutions in production environments. · Experience developing Generative AI solutions, including RAG, AI Agents, and LLM fine-tuning. · Proficiency with large-scale distributed systems on cloud platforms (AWS, Azure, GCP). · Experience with Graph Machine Learning technologies (e.g., GNNs, GraphRAG) is highly desirable. · Familiarity with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue. · Strong analytical skills with the ability to solve complex, ambiguous problems. · Excellent collaboration, communication, and mentorship abilities. Benefits: · Competitive compensation (confidential) with growth potential. · Exposure to cutting-edge AI, ML, and Graph technologies. · Opportunity to work on high-impact projects with global reach. · Collaborative and innovation-driven work environment. · Professional development and mentorship opportunities. · Flexible working arrangements and hybrid collaboration with international teams. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the design, development, and deployment of advanced Graph Machine Learning and AI solutions. Collaborate with ML scientists and engineers to accelerate model experimentation and integration into scalable production systems.