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About the Role

As a Principal ML Engineer, you will be a key technical and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

Responsibilities

• 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

Requirements

• Degree in Computer Science, Mathematics, or a related field
• 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
• 5–10 years of Python expertise, including advanced features and libraries
• Strong experience designing RESTful APIs (e.g., 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
• 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

Skills

• Generative AI
• AI Agents
• RAG
• Knowledge Bases
• Data Mining
• Anomaly Detection
• LLM fine-tuning
• Python
• RESTful APIs
• FastAPI
• Docker
• Kubernetes
• CI/CD pipelines
• AWS
• Azure
• GCP
• PyTorch
• SageMaker
• Triton
• TensorRT
• NoSQL
• document databases

Experience Level

• 5-10 years of full software development lifecycle experience
• 5-10 years of Python expertise
• 3+ years designing and architecting large-scale distributed systems

Education Level

• Degree in Computer Science, Mathematics, or a related field
• MS or PhD in Computer Science or ML

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Training & Development

About the Company

• 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.