AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
About the role
- Machine Learning Engineer transforming research-driven models into scalable systems. Join Shalion in an international team focused on e-commerce intelligence.
Responsibilities
- Own the end-to-end lifecycle of ML systems, with focus on deployment and monitoring
- Refactor and productionize existing models and notebooks into clean, modular, and testable code.
- Introduce and enforce best practices in coding, testing, model versioning
- Set up and improve CI/CD workflows for ML systems
- Work closely with Data Scientists and Data Engineers to ensure clean interfaces and reliable data flows
- Act as a technical reference within the team, reviewing code and guiding less experienced members.
Requirements
- 3+ years of experience building and deploying ML systems in production environments
- Strong software engineering skills in Python, with a focus on writing clean, maintainable, and testable code
- Proven experience taking models from notebook to production
- Solid understanding of model development lifecycle
- (Bonus) Familiarity with containerization (Docker)
- (Bonus) Experience with cloud environments (AWS preferred) and data platforms such as Snowflake
- Pragmatic and solution-oriented: you focus on what works in production, not just in theory
- Comfortable working in ambiguous environments and bringing structure where needed
- Quality-driven mindset with attention to maintainability and long-term scalability.
Benefits
- An international team – Work with colleagues from 10+ nationalities.
- A dynamic and innovative environment – Be part of a high-performing team.
- Hybrid work model – 3 days in-office, 2 days remote.
- Impactful work – Contribute to a challenging and innovative project.
- Flexible benefits – allocate part of your gross salary (pre-tax) to meal vouchers, transport allowance, and private healthcare at a preferential rate.
- Office perks – Fresh fruit and specialty coffee daily.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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