Machine Learning Engineer

3 weeks ago

Cupertino, California, United States CoolSnail Full time
Job Description

Job Title: Machine Learning Engineer/AI Engineer

We are seeking a highly skilled Machine Learning Engineer/AI Engineer to join our team at CoolSnail. As a key member of our team, you will be responsible for designing, developing, testing, deploying, maintaining, and enhancing Machine Learning Pipelines using K8s/AKS based Argo Workflow Orchestration solutions.

Key Responsibilities:

  • Design and develop Machine Learning Pipelines using K8s/AKS based Argo Workflow Orchestration solutions.
  • Participate in design reviews with the platform engineering team to decide on design, technologies, project priorities, deadlines, and deliverables.
  • Work closely with the Data Lake and Data Science team to understand their data structure and machine learning algorithms.
  • Implement real-time Argo workflow pipelines, integrate pipelines with machine learning models, and translate data and model results into business stakeholders Data Lake.
  • Develop distributed Machine Learning Pipelines for training and inferencing using Argo, Spark, and AKS.
  • Build highly scalable backend REST APIs to collect data from Data Lake and other use-cases/scenarios.
  • Deploy applications in Azure Kubernetes Service using GitLab CICD, Jenkins, Docker, Kubectl, Helm, and Manifest.
  • Experience in branching, tagging, and maintaining versions across different environments in GitLab.
  • Review code developed by other developers and provide feedback to ensure best practices.
  • Debug/track/resolve issues by analyzing sources and impact on application, network, or service operations and quality.
  • Functional, benchmark, and performance testing and tuning for built workflows.
  • Assess, design, and optimize resources capacities (e.g., Memory, GPU) for ML-based resource-intensive workloads.

Requirements:

  • Bachelor's/Master's degree in Computer Science or Data Science.
  • 5 to 8 years of experience in software development and with data structures/algorithms.
  • 5 to 7 years of experience with programming languages Python or Java, database languages (e.g., SQL), and no-sql.
  • 5 years of experience in developing large-scale infrastructure, distributed systems, or networks, experience with compute technologies, storage architecture.
  • Strong understanding of microservices architecture and experience with building and deploying REST APIs using Python, Flask, and Django.
  • 5 years of experience with Unit and Functional test cases using PyTest, UnitTest, and Mocking External Services for functional and non-functional requirements.
  • Strong understanding and experience with Kubernetes for availability and scalability of the application in Azure Kubernetes Service.
  • Experience in building and deploying applications with Azure, using third-party tools (e.g., Docker, Kubernetes, and Terraform).
  • Experience with cloud tools like Azure and Google Cloud Platform.
  • Experience with development tools, CI/CD pipelines such as GitLab CI/CD, Artifactory, Cloudbees, and Jenkins.

Preferred Skills:

  • Python, Kubernetes, Argo Workflow, Argo Event, Hive, SQL, no-sql, REST APIs, Helm, Docker, Jenkins.

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