Machine Learning Operations (MLOps) Engineer (GCP)
Description For Machine Learning Operations (MLOps) Engineer (GCP)
Rackspace, a leading cloud integrator, is seeking a Machine Learning Operations (MLOps) Engineer to join their innovative team. This role combines deep technical expertise in machine learning engineering with infrastructure management, focusing on building and optimizing ML platforms for production environments.
The position offers an exciting opportunity to work with cutting-edge technology, particularly in the realm of machine learning and cloud computing. As an MLOps Engineer, you'll be responsible for building and maintaining sophisticated ML platforms, implementing CI/CD workflows, and ensuring the smooth deployment of ML models across various environments.
The ideal candidate will bring 3+ years of relevant experience and strong expertise in GCP services, particularly Vertex AI and related tools. You'll work with modern ML frameworks like TensorFlow, PyTorch, and Hugging Face, while also dealing with large language models and agentic AI systems. The role requires a solid foundation in computer science concepts and excellent problem-solving abilities.
What makes this role particularly attractive is the opportunity to work with a company that's at the forefront of cloud integration, helping hundreds of companies achieve their cloud transformation goals. You'll be part of a team that values innovation and professional growth, working on complex business problems that directly impact customer success.
The position offers a hybrid work arrangement based in Egypt (Giza/Alexandria), providing flexibility while maintaining collaborative opportunities. If you're passionate about machine learning, cloud technologies, and building scalable solutions that make a real difference, this role presents an excellent opportunity to advance your career while working with industry-leading technologies and practices.
Responsibilities For Machine Learning Operations (MLOps) Engineer (GCP)
- Build and optimize ML Platforms to support cutting-edge machine learning and deep learning models
- Develop CI/CD workflows for ML models and data pipelines
- Automate model training, validation, and deployment
- Monitor and maintain ML models in production
- Ensure reproducibility and traceability of experiments
- Manage model versioning and rollbacks
- Collaborate with data scientists and software engineers
- Optimize model inference infrastructure
- Implement data and model governance policies
- Stay current with evolving GCP MLOps practices
Requirements For Machine Learning Operations (MLOps) Engineer (GCP)
- Bachelor's degree in computer science, Information Technology, or related field
- 3+ years of relevant industry experience
- Experience with deep learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain)
- Experience with GCP services (Vertex AI, Cloud Storage, BigQuery, Cloud Functions, Dataflow)
- Understanding of machine learning algorithms, NLP, and statistical modeling
- Strong problem-solving skills and critical thinking
- Excellent written and verbal communication skills
- Expertise in Google Cloud Platform (GCP) and Vertex AI
- Experience in building and scaling agentic AI systems
- Understanding of large language model (LLM) architectures
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