At a Glance
- Tasks: Develop and enhance machine learning systems in cloud environments.
- Company: Join RAVL, a boutique tech advisory firm with a focus on innovation.
- Benefits: Competitive contract pay, hands-on project experience, and skill enhancement.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Be at the forefront of transformative ML projects and make a real impact.
- Qualifications: Strong skills in Databricks, Spark, Python, and cloud experience.
The predicted salary is between 135000 - 165000 $ per year.
Secure a pivotal role as a Machine Learning Platform Engineer at RAVL. Engage in developing machine learning systems with a focus on cloud environments and robust pipelines.
At RAVL, a boutique tech advisory firm, we’re looking for Senior ML Platform Engineers to spearhead the creation of cutting-edge ML pipelines and extend platform capabilities. This contract position offers hands-on involvement in both active projects and new engagements within a client-oriented framework.
Key Responsibilities: • Build and extend components on the ML platform via Databricks • Develop and monitor ML pipelines effectively • Create reusable architecture-aligned workflows • Integrate with enterprise services for scalability • Maintain performance and reliability standards
Requirements: • Strong skills in Databricks and Spark • Proven experience in building ML pipelines • Proficiency in Python essential • Cloud experience, preferably Azure • Strong attention to detail and delivery focus
Enhance your expertise and contribute to transformative machine learning projects while working with RAVL. #J-18808-Ljbffr
Machine Learning Platform Engineer Role in Toronto employer: RAVL
At RAVL, we pride ourselves on being a boutique tech advisory firm that fosters a collaborative and innovative work culture. As a Machine Learning Platform Engineer, you'll not only have the opportunity to work on cutting-edge projects but also benefit from a supportive environment that encourages professional growth and development. Located in a vibrant tech hub, our team enjoys flexible working arrangements and access to the latest tools and technologies, making RAVL an exceptional place for those looking to make a meaningful impact in the field of machine learning.
