MLOPS Engineer

Major Tasks of Position:

Design, develop and maintain UI applications and deploying/managing machine learning models.

• Design, build, and maintain Python and Flask applications using AWS and/or Azure cloud services.
• Implement standards for data ingestion, storage, and processing to support analytics and machine learning workflows.
• Understand graph theory and network analysis, including familiarity with libraries such as NetworkX, igraph, or similar.
• Implement and manage CI/CD pipelines for automated testing, deployment, and monitoring of machine learning models.
• Collaborate with data scientists, machine learning engineers, and software developers to operationalize machine learning models.
• Design and maintain infrastructure for automated deployment and scaling.
• Ensure compliance with security, privacy, and data governance requirements.

Key Working Relation:

Qualification & Competencies:

• Bachelors degree in computer science, engineering, or a related field, or equivalent practical experience with at least 8-10 years of combined experience as a Python and MLOps Engineer or similar roles.
• Strong programming skills in Python.
• Proficiency with AWS and/or Azure cloud platforms, including services such as EC2, S3, Lambda, SageMaker, Azure ML, etc.
• Solid understanding of API programming and integration.
• Hands-on experience with CI/CD pipelines, version control systems (e.g., git), and code repositories.
• Knowledge of containerization using Docker, Kubernetes and orchestration tools.
• Proficiency in creating data visualizations specifically for graphs and networks using tools like Matplotlib, Seaborn, or Plotly.
• Understanding of data manipulation and analysis using libraries such as Pandas and Numpy
• Problem-solving, analytical expertise, and troubleshooting abilities with attention to details.