Senior Software Engineer ML Platform

4 weeks ago

ahmedabad, India Infraveo Full time

This is a remote position.

We are seeking for Senior Software Engineer ML Platform to join our team.

  • 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

3-4 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 fast-paced, changing startup environment

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