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

c-servVancouver, British Columbia, Canada
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Required QualificationsBachelor's degree in Computer Science, Mathematics, or a related field.5–10 years of comprehensive experience in the full software development lifecycle, including design, coding, testing, deployment, and operations.5–10 years of expertise in Python, with strong knowledge of advanced features and libraries. Significant experience in designing RESTful APIs (e.g., FastAPI). Proficiency with Docker, Kubernetes, and CI/CD pipelines.3+ years of experience in designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP). Demonstrated experience as a tech lead or engineering mentor. Preferred QualificationsMaster's or PhD in Computer Science or Machine Learning. Hands-on experience with machine learning frameworks such as PyTorch, SageMaker, Triton, or TensorRT. Familiarity with NoSQL and document databases. A proven track record of handling big data, optimizing workflows, and enhancing system performance.

About the job

About this Opportunity

Join a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.

The Role

As a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.

Key Responsibilities

  • Define and lead the technical vision for machine learning solutions across our product portfolio.
  • Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.
  • Architect robust, scalable microservices, including both synchronous and asynchronous web services.
  • Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.
  • Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.
  • Promote engineering excellence, system resilience, and continuous improvement in operations.

About c-serv

c-serv is a global leader in network management solutions, committed to innovating how businesses handle their network infrastructures through advanced AI technologies.

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