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Principal Machine Learning Engineer, General AI, ML, Big Data
C-ServPrincipal ML Engineer at a global networking leader shaping ML strategy and building intelligent systems for network management. Driving innovation in fields like Generative AI and Data Mining.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRESTful APIsDockerKubernetesCI/CDML frameworksPyTorchSageMakerTritonTensorRT
Soft Skills
mentoringtechnical directionteam cultureengineering excellencesystem resilienceoperational improvement
Tools & Technologies
AWSAzureGCPNoSQL databasesdocument databases
Certifications & Qualifications
MS in Computer SciencePhD in Computer SciencePhD in ML
Industry Keywords
software development lifecyclemicroservicesreal-time inference pipelinesbig datadistributed systems
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesMicroservicesNoSQLPythonPyTorch
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- 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