Welcome to RemoteYeah 2.0! Find out more about the new version here.

Remote Senior Machine Learning Ops Engineer

at DailyPay

Posted 1 day ago | 0 applied

Description:

  • DailyPay is transforming the way people get paid, providing an on-demand pay solution that enhances employee motivation and financial well-being.
  • The company is headquartered in New York City and operates throughout the United States and Belfast.
  • The Senior MLOps Engineer will be responsible for maturing and scaling the machine learning infrastructure and processes.
  • This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust systems.
  • The engineer will collaborate with data scientists, engineers, and product teams to deliver high-quality ML solutions.
  • Key responsibilities include designing and implementing MLOps solutions, managing AWS cloud infrastructure, developing CI/CD pipelines, and ensuring system monitoring and observability.
  • The engineer will also provide mentorship to junior team members and ensure security and compliance of ML applications.

Requirements:

  • A Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field is required.
  • A minimum of 3 years of experience in machine learning operations, data engineering, or related roles is necessary.
  • Proficiency in AWS services such as EC2, S3, Lambda, SageMaker, and ECS is essential.
  • Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch are required.
  • Experience with CI/CD tools and practices, such as GitHub Actions or Jenkins, is needed.
  • Knowledge of containerization and orchestration technologies, including Docker and Kubernetes, is important.
  • Familiarity with monitoring and logging tools like DataDog, Prometheus, or Grafana is required.
  • Data engineering skills, including knowledge of event streaming platforms like Apache Kafka and SQL database management, are necessary.
  • Excellent communication skills and the ability to work effectively in a remote, collaborative environment are essential.

Benefits:

  • Competitive compensation is offered for this position.
  • There is an opportunity for equity ownership within the company.
  • A private health insurance option is available for employees.
  • Employees can participate in Employee Resource Groups.
  • The company organizes fun outings and events for team bonding.
  • A generous PTO allowance is provided to employees.
  • DailyPay contributes 5% to employee pensions.