Senior AI Platform Engineer
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonKubeflowKubernetesSparkCI/CDTerraformMLOps
Requirements
- Strong experience in software or platform engineering with focus on ML/AI systems
- Hands-on expertise with Kubernetes, Kubeflow, Spark, and AWS ecosystems
- Strong proficiency in Python for building scalable libraries, APIs, and tooling
- Experience with CI/CD, Infrastructure as Code (Terraform or Crossplane), and observability tools
- Solid understanding of MLOps practices and modern AI/ML lifecycle management
- Ability to design scalable, reusable platform solutions and developer-facing tools
- Experience collaborating with data science or analytics teams in production environments
- Strong systems thinking and ability to connect infrastructure, data, and governance layers
- Product mindset focused on developer experience and platform usability
- Strong communication and collaboration skills in distributed engineering environments
Responsibilities
- Evolve and maintain ML platform infrastructure including Kubeflow, Feast, Spark-on-Kubernetes, and AWS-based systems
- Design and implement internal tools, APIs, and abstractions to enable self-service ML workflows
- Build scalable CI/CD, versioning, and deployment frameworks tailored to ML and AI use cases
- Drive MLOps and LLMOps best practices across the organization, from experimentation to production
- Collaborate with data science and engineering teams to standardize production-grade AI workflows
- Improve developer experience by treating the platform as a product with continuous feedback loops
- Partner with infrastructure and data teams to integrate ML systems into governance, catalog, and privacy frameworks
- Ensure observability, reliability, and performance of large-scale AI workloads in production environments
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