Vakansiyanın detalları
- Əmək haqqı: Razılaşma yolu ilə
- Kateqoriya: Development (Proqramlaşdırma)
Vakansiyanın təsviri
- Develop, refine, and use ML engineering platforms and components
- Ensure our programs can efficiently handle large volumes of data and meet deadlines
- Establish and manage processes for models, including data preparation and prediction
- Monitor model performance closely and address any issues promptly
- Collaborate closely with client-facing teams to understand their needs and provide technical support
- Translate client requirements into straightforward features
- Write robust code that is easy to test, maintain, and troubleshoot
- Maintain high standards by adhering to guidelines, participating in code reviews, and ensuring code quality
- Thoroughly test all components to anticipate and resolve potential issues
- Utilize tools for issue tracking, code review, and version control
- Actively participate in team meetings to discuss progress and future plans
- Stay updated on the latest developments in technology and explore innovative solutions
Xüsusi tələblər
- 5+ years of experience in software or data engineering, encompassing system design, development, and deployment of scalable solutions in production environments
- 1+ year of experience in deploying and managing ML models
- Proficiency with ML Ops for assessing and monitoring model performance and scalability
- Skilled in creating feature engineering processes and inference pipelines
- Strong programming skills in Python
- Experience with ML platforms like or similar to Airflow or any other orchestration workflow framework (SageMaker, Kubeflow, MLFlow)
- Experience with Test-Driven Development (TDD), including writing unit tests with Pytest and implementing integration tests to ensure robustness and reliability
- Experience with DevOps concepts, CI/CD pipelines, and data security measures, along with expertise in cloud platform architecture
- Knowledge and experience in API development, including FastAPI and REST API
- Proficiency in using Git for version control
- Ability to write clean code and well-structured Pull Requests
- Hands-on experience in data engineering within Big Data ecosystems
- Knowledge of fundamental computer science concepts, including common data structures and algorithms
- Ability to collaborate effectively with diverse teams
- Excellent English language skills
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