MLOps & DevOps Engineer

Role Details

• Experience: 7–9 Years
• Location: Bangalore or Remote

Responsibilities

• Design, implement, and maintain MLOps pipelines to support end-to-end machine learning workflows.
• Build, scale, and troubleshoot production systems on AWS cloud infrastructure.
• Develop and maintain DevOps pipelines using CI/CD best practices for reliable deployment of ML systems.
• Work extensively with Docker and Kubernetes to containerize and orchestrate applications in cloud environments.
• Set up and manage workflow orchestration frameworks such as Kubeflow, Airflow, or Argo.
• Collaborate with data scientists and engineers to translate business needs into technical requirements.
• Automate cloud-based system integrations using APIs and custom solutions.
• Develop and optimize machine learning models using frameworks like PyTorch, TensorFlow, and Keras.
• Implement monitoring, benchmarking, and testing strategies to ensure system performance and reliability.

Requirements

• Core Skills:
• Proven experience 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).

• 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.

• 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.

Soft Skills

• Strong problem-solving abilities and attention to detail.
• Excellent communication skills for cross-functional collaboration.
• Ability to work in a fast-paced, dynamic environment.

• Opportunity to work on cutting-edge MLOps and DevOps projects.
• Flexible location options: Bangalore or Remote.
• A collaborative and growth-oriented work culture.