Responsibilities
- Develop, train, and deploy machine learning models using AWS SageMaker's managed services and automation features
- Leverage Amazon Redshift and S3 for efficient data storage, processing, and analytical workflows
- Use Apache Spark and Airflow to handle large-scale data transformations and coordinate data pipelines
- Operate and fine-tune machine learning workloads on Amazon EMR for performance and cost efficiency
- Apply strong Python programming skills with libraries like NumPy, Pandas, and Scikit-learn for data analysis and modeling
- Work closely with data engineering teams to ensure smooth deployment and integration of ML models in live systems
- Enforce standards in model version control, performance monitoring, and automated deployment pipelines
Benefits
- Comprehensive private healthcare coverage
- Meal vouchers and Pluxee benefits card
- Subscription to a digital book platform
- Thirteenth salary and annual performance-based bonuses
- Stable multinational environment with startup agility, inclusive culture, global projects, and minimal bureaucracy
- Supportive workplace emphasizing personal responsibility, independence, and balanced work hours, complemented by team-building activities
- Hybrid work model with flexibility for remote arrangements
- Collaborative culture where employees help define benefits, tools, events, and internal processes
- International career paths in software development across diverse domains
- Freedom to select projects that match personal growth objectives and technical interests
- Subscriptions to top-tier learning platforms including Pluralsight, Udemy, and cloud provider training
- Professional advancement through mentorship, certification support, skill development, and competitive compensation
Work Arrangement
Hybrid
Other
- We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic.
- We encourage applicants from all backgrounds to apply.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
- If you would like more information about how your data is processed, please contact us.
