Senior Machine Learning Engineer

🚀 We’re Hiring : Senior ML Engineer (Gen AI, Machine Learning)

📌 Mandatory Skills : Graph ML, Agentic AI

🌍 Location : Remote

🧠 Domain : Generative AI | Machine Learning | Distributed Systems

🔹 Overview

Are you energized by the idea of innovating with Generative AI ?

Do you want to build next-gen AI-driven products with real-world global impact ?

This is a greenfield opportunity to architect and scale intelligent AI systems across Generative AI, Machine Learning, Big Data, and Cloud Computing . You’ll contribute directly to the vision, technical roadmap, and user experience —from concept to production.

Our AI Core Group is pioneering intelligent platforms powered by :

⚡ AI Agents

⚡ RAG systems & Knowledge Bases

⚡ Graph ML

⚡ Data Mining & Anomaly Detection

⚡ LLM Fine-tuning & Optimization

We are redefining how enterprises leverage AI by building multi-agent autonomous systems that perceive, reason, and act in real time.

🔹 Key Responsibilities

🔹 Act as an AI thought leader, driving strategic innovation across products and platforms

🔹 Lead the full SDLC — design ➝ testing ➝ deployment ➝ operations

🔹 Participate in architecture reviews, design reviews, code reviews & technical strategy

🔹 Build high-performance, production-grade ML systems for real-time AI platforms

🔹 Extend and optimize ML / GenAI libraries, frameworks & internal toolkits

🔹 Collaborate with AI scientists & platform engineers to accelerate experimentation & deployments

🔹 Deploy and scale ML solutions across cloud-based distributed systems

🔹 Requirements

• Degree in Computer Science, Mathematics, or a related field
• 8+ years of experience across the full SDLC (design → development → deployment → operations)
• 5+ years of building & deploying end-to-end ML solutions in production
• Hands-on experience with RAG, AI Agents, LLM Fine-tuning and Gen AI in production
• Experience with AWS / Azure / GCP & distributed systems
• Proven ability to solve complex & ambiguous problems

🔹 Preferred Qualifications

⭐ MS / PhD in CS, ML or related field

⭐ Expertise in Graph ML & Graph technologies (GNNs, GraphRAG, etc.)

⭐ Experience with distributed Big Data ecosystems :

Spark

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