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We are searching for a Lead Machine Learning Engineer who will be responsible for designing ML models that undergo ongoing training and developing frameworks suited for data scientists.
If you possess exceptional skills in developing and implementing production applications and data pipelines, consider applying for this position.
Responsibilities
- Oversee the migration of machine learning algorithms to a production setting and their integration within the company's existing systems
- Create, manage, and improve the entire machine learning lifecycle from start to finish
- Draft detailed specifications, documentation, and user manuals
- Enhance SDLC processes, set up and manage CI/CD/CT frameworks
- Implement mechanisms for the early detection of different types of drifts (data, concept, schema, etc.)
Requirements
- 5+ years of enterprise software development experience
- 3+ years of Machine Learning experience
- Qualifications in designing, constructing and launching production applications and data pipelines
- Skills in developing highly resilient, scalable applications and systems powered by ML
- Hands-on expertise in establishing SDLC best practices
- Understanding 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 and technologies
- Experience in integrating ML models within multifaceted data-driven systems, IoT devices, or mobile devices
- Proficiency in basic software engineering tools (CI/CD environments like Jenkins or BuildKit, PyPI, Docker, and Kubernetes)
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