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Machine Learning Solutions Architect
2 months ago
Role Overview:
Talenza is seeking a highly skilled Machine Learning Engineer to join our newly established team. As a key member of our team, you will be responsible for designing, building, and operating Machine Learning solutions using cutting-edge cloud technology.
Key Responsibilities:
- Take end-to-end ownership of your product in a modern DevOps culture, delivering incrementally in iterative cycles.
- Design, develop, test, and operate Machine Learning solutions, ensuring scalability and reliability.
- Implement MLOps best practices, including CI/CD pipelines, to ensure seamless integration with our cloud infrastructure.
- Collaborate with cross-functional teams to integrate Machine Learning solutions with our existing systems and tools.
- Stay up-to-date with the latest advancements in Machine Learning and cloud technologies, applying this knowledge to improve our solutions.
Requirements:
- 5+ years of experience as a software engineer in an agile DevOps environment using an object-oriented development language (Java, Python).
- Experience across the full SDLC, including design, build, test, and supporting mission-critical production platforms.
- Demonstrated proficiency using cloud technologies and integrating with ML services such as GCP Vertex AI, DataRobot, or AWS SageMaker in large and complex organizations.
- Experience with SQL and Python environments, as well as data engineering experience.
- Familiarity with cloud technologies and architectural practices to enhance tooling across the ML model development lifecycle.