Responsibilities
- Collaborate with data scientists and product teams to develop AI systems
- Engage in projects that enhance skills in AI engineering
- Contribute to the operationalization of advanced technologies
- Build technical knowledge through participation in transformative initiatives
- Foster meaningful connections within a dynamic work environment
- Analyze data to inform the development of innovative solutions
- Support the implementation of resilient systems that drive innovation
- Adapt to rapidly changing project requirements and challenges
What You Must Have
- Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
- 2 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Proficiency in cloud platforms: Azure, AWS, or GCP
- Experience deploying and maintaining LLM-based applications
- Understanding of containerization and orchestration
- Managing and monitoring ML lifecycle experience
- Familiarity with CI/CD pipelines and infrastructure-as-code tools
- Knowledge of data pipelines using tools like Apache Airflow
- Exposure to logging and observability tools
- Experience with serverless deployments and GPU-enabled compute instances
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