Back to SearchWe are looking for a Lead Machine Learning Engineer who will design ML models with continuous training and build frameworks for data scientists.
Apply for the vacancy if you are highly competent in creating and deploying production applications and data pipelines.
Responsibilities
- Manage the transition of machine learning algorithms to the production environment and integration with the enterprise ecosystem
- Design, maintain, and optimize the complete end-to-end machine learning life cycle
- Design specifications, documentation and user guides
- Contribute to the improvement of SDLC practices, establish and configure CI/CD/CT processes
- Provide capabilities for early detection of various drifts (data, concept, schema, etc.)
Requirements
- 5+ years of production experience in enterprise software development
- 3+ years of production background in Machine Learning
- Qualifications in designing, building and deploying production applications and data pipelines
- Competency in the development of highly available, largely scalable, ML-driven applications and systems
- Hands-on expertise in the implementation of SDLC best practices
- Knowledge of Python development
- Familiarity with Cloud-native services (GCP, AWS, Azure) and Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
Nice to have
- Expertise in MLOps-related platforms/technologies
- Production experience in integrating ML models into complex data-driven systems/IoT devices/mobile devices
- Competency in basic software engineering tools (CI/CD environments such as Jenkins or BuildKit, PyPI, Docker, Kubernetes)
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