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We are looking for a Senior Python Engineer with a strong background in software development, data engineering, CI/CD automation, and cloud deployment on AWS. This role is essential for designing, building, and deploying AI models and scalable backend systems for industries such as airlines.
The ideal candidate will combine experience in Python, DevOps, cloud architecture, and machine learning operations, collaborating closely with data scientists, data engineers, architects, and product owners.
RESPONSIBILITIES
Design and implement AI-driven applications using Python.
Build and maintain efficient, scalable, and automated data pipelines to support machine learning workflows.
Develop and deploy APIs and microservices that integrate ML models into platform ecosystems.
Manage the full ML lifecycle (training, validation, monitoring, and tuning) using MLOps best practices.
Apply DevOps practices (CI/CD, monitoring, automated testing) using tools like AWS CDK, CodePipeline.
Deploy solutions in the cloud using AWS services such as Lambda, S3, Glue, EventBridge, Step Functions and Sagemaker.
Monitor and troubleshoot production systems as needed.
TECHNICAL REQUIREMENTS
5+ years of experience in backend development or data engineering.
5+ years of hands-on experience with AWS services.
5+ years of experience in Python
Proven experience operationalizing ML models in production environments.
Proficiency with infrastructure-as-code tools (AWS CDK, CloudFormation).
PREFERRED QUALIFICATIONS
Experience with AWS SageMaker.
Background in microservices architecture design and implementation.
Experience with CI/CD tools (Git, CodeBuild, CodePipeline).
Docker
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Software Development
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Senior Python Developer