Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
About the role
- AI ML Engineer shaping ML strategy and building intelligent multi-agent systems at a networking leader. Driving innovation in Generative AI and building real-time inference pipelines.
Responsibilities
- **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
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