Описание
About Opportunity We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.
The Role As one of our AI ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. What You'll Do Define and drive the technical vision for ML solutions across products and platforms Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations Architect high-performance, scalable microservices, including synchronous and asynchronous web services Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing Mentor engineers, set technical direction, and foster a strong team culture Champion engineering excellence, system resilience, and continuous operational improvement Required
, FastAPI) Proficiency with Docker, Kubernetes, and CI/CD pipelines 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP) Proven experience as a tech lead or engineering mentor Preferred
Qualifications
MS or PhD in Computer Science or ML Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT Familiarity with NoSQL and document databases Track record of handling big data, optimising workflows, and improving system performance
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