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Machine Learning Operations Engineer
hace 2 meses
About Us: Admiral Insurance is a dynamic and international company that values innovation and technology. We are committed to building a strong foundation in data and analytics to drive business growth and decision-making.
Job Summary: We are seeking a highly skilled Machine Learning Operations Engineer to lead the development and implementation of technical best practices and influence a team of data scientists towards adoption.
Key Responsibilities:
- Develop and implement technical MLOps best practices to optimize data science workflows.
- Maintain direct interaction with the Advanced Analytics team to influence the modeling process from start to finish.
- Collaborate with the Data Development Engineers team to optimize data flows.
- Lead the development of cloud-based infrastructure using AWS Sagemaker.
- Design and implement monitoring and logging systems to ensure data quality and integrity.
- Influence data scientists to adopt the ML OPS framework and provide training and support as needed.
- Work closely with cross-functional teams to ensure seamless integration of data science workflows.
Requirements:
Essential Requirements:
- Mid-senior professional with at least 4 years of experience in a similar role.
- Cloud Computing: in-depth expertise of AWS Sagemaker.
- Machine Learning: hands-on development of end-to-end data science workflows.
- DevOps: proven experience in CI/CD, automated testing, and software engineering principles.
- Infrastructure as code: proficient in tools like Terraform, CDK, or equivalent to provision resources.
- Monitoring: familiar with best practices on logging, monitoring, and observability.
- Fluency in working English.
- Residence in Spain.
Desirable Requirements:
- Vendor relationship management.
- Experience mentoring junior team members.
- Able to communicate complex concepts to a wide range of non-technical stakeholders.
What We Offer:
- Great opportunities for growth and professional development.
- Flexible working hours, with 25 days of working vacation per year.
- Participation in the company's share system.
