AI Staff Machine Learning Engineer, General AI, ML & Big Data

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

Requirements

Required Qualifications

* 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

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

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