Senior Software Engineer ML Platform

This is a remote position.

• Be an essential technical contributor at a Series Bstage company as it scales
  

• Design and implement infrastructure for ML model management including training deployment and monitoring
  

• Build and maintain platforms for running ML algorithms at scale
  

• Develop systems for A/B testing performance monitoring and continuous model training
  

• Create and manage ETL infrastructure to support ML workflows
  

• Implement best practices for MLOps including version control for models and datasets
  

• Collaborate with ML Engineers to optimize model performance and resource utilization
  

• Ensure the scalability reliability and security of ML systems
  

• Stay current with the latest advancements in MLOps and cloud technologies
  

• Contribute to the development of internal tools and frameworks to improve ML workflow efficiency
  

Requirements

• 34 years of experience in software engineering DevOps or related field with a focus on ML systems
  

• Experience with ML frameworks
  

• Experience with cloud platforms preferably AWS
  

• Experience with container runtime architectures preferably Kubernetes
  

• Proficiency with at least one programming language preferably Python or Typescript
  

• Familiarity with CI/CD practices and tools
  

• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
  

• Strong understanding of distributed systems and microservices architecture
  

• Ability to work in a fastpaced changing startup environment
  

Nice to Haves:

• Experience with distributed computing frameworks (e.g. Apache Spark)
  

• Familiarity with ML experiment tracking tools (e.g. MLFlow Weights & Biases)
  

• Knowledge of data versioning and feature store technologies
  

• Experience with highvolume realtime data processing
  

• Familiarity with data security and access control for ML systems
  

• Experience with cloud cost management and optimization for ML workloads
  

• Modern web tech stacks consisting of several of the following: GraphQL NodeJS Hasura Postgres
  

• Background in or exposure to the audit and advisory industry
  

• Experience presenting technical concepts to nontechnical stakeholders
  

• Experience mentoring or leading small teams
  

Benefits

• Work Location: Remote
  
• 5 days working