Machine Learning Engineer developing machine learning models for a leading fintech company in Greece. Collaborating with engineering and data teams to enhance decision - making across the financial ecosystem.
About the role
- Senior Machine Learning Engineer driving MLOps cycle for AI technology in a defense tech company. Working on a new hardware product supporting diverse end users in the government.
Responsibilities
- Own the transition of developed MLOps pipeline components into an automated pipeline to produce and evaluate models for production
- Develop metrics and methodologies to identify algorithmic and training gaps, ensuring the effectiveness of the production models are visible to all stakeholders
- Collaborate with cross disciplinary engineering teams to integrate developed algorithms and models into production
- Be a hands-on technical contributor to unblock or bootstrap key initiatives
- Travel up to 20% of the time to meet with internal and external stakeholders
Requirements
- 4+ years working with ML researchers to take AI/ML products from research to production
- 2+ years of building CI/CD pipelines or using Infrastructure-as-code tools
- 2+ years developing server-side architecture and data models to support data products that integrate machine learning
- 2+ years with model versioning and experimentation platform like Weights and Biases
- Experience deploying code to cloud platform (AWS, Google Cloud Platform, or Azure)
- Experience developing AI/ML models in physical or applied science fields OR experience as a signal processing engineer, RF Sytems Engineer, or similar discipline
Benefits
- Health, dental, and vision insurance
- Unlimited PTO including competitive vacation and holiday schedules
- Lifestyle stipends - Monthly mental health, wellness & fitness stipend, in-home office setup stipend and family planning assistance
- Salary top-up during military reserve duty
- Fully paid parental leave
- Child and pet care reimbursement during travel
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