Senior Machine Learning Engineer

3 days ago


Bangalore Division, India NAZZTEC Full time

🚀 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 • Flink • Kafka • PySpark • Lakehouse • Druid • Hudi • Glue #Hiring #JobOpening #NowHiring #CareerOpportunity #MLJobs #MachineLearning #SeniorMLEngineer #ArtificialIntelligence #GenerativeAI #GenAI #AIJobs #AgenticAI #GraphML #GraphNeuralNetworks #GNN #GraphRAG #RAG #LLM #LLMFineTuning #AIEngineering #DataScienceJobs #BigData #DistributedSystems #CloudComputing #AWS #Azure #GCP #DeepLearning #AutonomousAgents #TechCareers #SoftwareEngineering #EngineeringJobs #ProductEngineering #AIResearch #MLResearch #NeuralNetworks #NaturalLanguageProcessing #ComputerVision #DataEngineering #RealTimeAI #MultiAgentSystems #SDLC #PythonJobs #Spark #Kafka #Flink #PyTorch #TensorFlow #HiringTechTalent #LinkedInJobs #ImmediateJoinersPreferred



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