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Senior Backend Engineer, Python, MLOps
ParserSenior Backend Engineer with MLOps expertise helping build infrastructure for ML solutions in the travel industry. Collaborating closely with data scientists to optimize systems and streamline processes.
Tech Stack
Tools & technologiesAWSCloudDockerJavaKafkaPythonSpark
About the role
Key responsibilities & impact- Help design, build, and maintain the infrastructure that powers ML solutions
- Manage data pipelines, streamline model deployment, and optimize compute resources
- Work on high-impact systems such as ranking, recommendation, and pricing optimization
- Collaborate closely with data scientists to integrate models into production
- Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments
- Build and maintain efficient data pipelines for large-scale processing and feature engineering
- Optimize compute resources and improve model serving performance across ML systems
- Implement robust monitoring, logging, and alerting systems
- Contribute to ML Ops practices including CI/CD pipelines
- Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- 6-7 years of experience in Software, Data, or ML engineering roles (preferred)
- Strong problem-solving skills
- Proficiency in Java and desirable Python
- Understanding of ML algorithms, model architectures, and experience building scalable, reliable ML systems
- Exposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data systems (e.g., Spark, Kafka)
- Familiarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g., MLflow)
- Ability to collaborate well across teams
Benefits
Comp & perks- Medical insurance
- The chance to join an organization with triple-digit growth
- The opportunity to form part of an amazing, multicultural community of tech experts
- A highly competitive compensation package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaPythonML algorithmsmodel architecturesdata pipelinesML infrastructurefeature engineeringCI/CDmodel servingproblem-solving
Soft Skills
collaborationmentoringcommunication
Certifications
Bachelor's degreeMaster's degree