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Machine Learning Systems Engineer

1 month ago

Gurgaon, Haryana, India Leute Passen India Private Limted Full time

Leute Passen India Private Limited is seeking a highly skilled Machine Learning Systems Engineer with 7-9 years of experience in building, deploying, and maintaining scalable machine learning systems.

Job Description
  • We are looking for a seasoned engineer who can design, implement, and maintain MLOps pipelines to support end-to-end machine learning workflows.

In this role, you will be responsible for building, scaling, and troubleshooting production systems on AWS cloud infrastructure. You will develop and maintain DevOps pipelines using CI/CD best practices for reliable deployment of ML systems.

You will work extensively with Docker and Kubernetes to containerize and orchestrate applications in cloud environments. You will set up and manage workflow orchestration frameworks such as Kubeflow, Airflow, or Argo.

Collaborating with data scientists and engineers, you will translate business needs into technical requirements. You will automate cloud-based system integrations using APIs and custom solutions.

Developing and optimizing machine learning models using frameworks like PyTorch, TensorFlow, and Keras, you will implement monitoring, benchmarking, and testing strategies to ensure system performance and reliability.

Requirements
  • A proven track record as a Platform Engineer, MLOps Engineer, or Data Engineer.
  • Strong programming skills, with proficiency in Python and experience in multi-language systems.
  • Solid understanding of Linux administration and cloud computing infrastructure (AWS preferred).

Technical Expertise:

  • Hands-on experience with Docker and Kubernetes in production environments.
  • Familiarity with workflow orchestration frameworks like Kubeflow, Airflow, or Argo.
  • Knowledge of machine learning methodology and best practices.

Preferred Skills:

  • Experience in deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Exposure to database systems and API-driven integrations.
  • Ability to independently set up MLOps pipelines from scratch.
Estimated Salary: ₹1,200,000 - ₹1,500,000 per annum