Recruiter
Vera Bekker
Roles:
Machine LearningManagement
Must-have skills:
AzureDatabricksScrum
Considering candidates from:
Estonia and Italy
Estonia and Italy
Work arrangement: Remote
Industry: Information Services
Language: English
Level: Senior or lead
Required experience: 5+ years
Size: 2 - 10 employees
Company
Renewcast is a leader in wind power generation forecasting, offering a proprietary SaaS platform that provides more accurate day-ahead and intra day wind production forecasts based on weather and wind turbine generator data. This technology delivers significant cost savings for wind park operators.
Description
Tasks:
- Lead the infrastructure and engineering team, implementing and optimizing ML model-serving architectures
- Oversee the orchestration of ML pipelines and inference workflows
- Drive agile methodologies, such as Scrum, ensuring team alignment and productivity
- Collaborate with DevOps and Data Engineers to optimize infrastructure, streamline data pipelines, and enhance performance and scalability
- Mentor junior team members, providing guidance and supporting their professional development
Must-have:
- 5+ years of experience as a ML engineer / data engineer
- Extensive experience in MLOps best practices particularly with MLflow
- Demonstrated ability in managing and leading complex technical teams using agile methodologies (Scrum or equivalent)
- Proven expertise with cloud environments including Azure (preferred) and/or AWS
- Strong knowledge of orchestration frameworks (Dagster, Airflow, Prefect)
- Solid understanding of cost optimization and resource management in cloud environments
- Excellent communication, leadership, and mentoring skills
- Familiarity with Databricks environment optimization and integration
Nice-to-have:
- Understanding of Kubernetes-based ML orchestration
- Relevant professional certifications in cloud or ML technologies
Benefits and conditions:
- Trial period: 4 months
- Full remote working with a base in Italy or Tallinn, Estonia
- A truly international team of highly experienced tech professionals
- ESOP (Employee Stock Option) participation as part of the remuneration package
- An opportunity to work on cutting-edge renewable energy forecasting projects with a direct impact on global sustainability goals
- A collaborative and dynamic environment, where innovation and technical excellence drive success
- Continuous professional growth and mentorship, contributing to high-impact initiatives in the renewable energy sector
Interview process:
- Intro call with Toughbyte
- A call with the Data Platform Manager
- A call with the CTO
- Final call with the CEO
Questions
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