Senior ML Platform Engineer

2 weeks ago


Ahmedabad, Gujarat, India Infraveo Full time
Job Description:

We are seeking a highly skilled Senior ML Platform Engineer to join our team at Infraveo. As a key member of our engineering team, you will be responsible for designing and implementing infrastructure for ML model management, including training, deployment, and monitoring.

Key Responsibilities:
  • 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 fast-paced, 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 high-volume, real-time 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 non-technical stakeholders.
  • Experience mentoring or leading small teams.

Benefits:
  • Work Location: Remote.
  • 5 days working.

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