About this role
We are looking for an experienced AI / MLOps Platform Engineer to build, operate, and support enterprise-grade AI platforms for production and mission-critical workloads. This role requires a strong understanding of AI operations and machine learning operations to ensure seamless deployment and management of AI solutions.
Key Responsibilities:
- Design and implement robust AI platforms that support various machine learning workflows.
- Collaborate with data scientists and software engineers to streamline the deployment of AI models.
- Monitor and optimize the performance of AI systems to ensure reliability and efficiency.
- Utilize tools such as Vertex AI, Azure ML, AWS SageMaker, MLflow, and Kubeflow for effective model management.
- Develop and maintain CI/CD pipelines for AI applications using tools like Argo Workflows.
- Troubleshoot and resolve issues related to AI platform infrastructure and performance.
Required Skills & Qualifications:
- Strong experience in AIOps, MLOps, and AI Platform Engineering.
- Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
- Experience with containerization and orchestration technologies like Docker and Kubernetes.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5 years of relevant experience in AI/MLOps platform engineering.
What we offer:
- Opportunity to work on cutting-edge AI technologies.
- Collaborative and innovative work environment.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.