We are committed to your professional development and value your experience and commitment to the Firm. We are looking for professionals who want to join the new challenges that technology and the way we interact with the world present.
Requirements
- ≥3 years developing and implementing ML/AI and data pipelines in production
- Python domain (including testing, logging, packaging) and good software engineering practices
- Experience with containers and deployment in cloud (Cloud Run, Kubernetes/GKE)
- Experience with ML pipelines: training, evaluation, deployment, and monitoring
- Experience with Google Cloud platforms (Vertex AI, BigQuery, GCS, Dataflow, Pub/Sub)
- Experience with integrating AI/GenAI in corporate applications and data through APIs and microservices
- Knowledge in CI/CD and MLOps (deployment automation, version control, observability)
- Experience in Data Governance and Data Quality
- Soft skills: autonomy, collaboration, delivery and quality orientation, critical thinking
Benefits
- High-impact projects where you will have a long career path and learning opportunity
- A hybrid-flexible day-to-day: you will have flexible hours and a good balance between remote work and team work in our offices or our clients' offices
- Good atmosphere inside and outside the office: you will enjoy several teambuildings per year, cultural and sports activities... and much more!
- Integral well-being: take care of yourself with our physical, mental, and financial health program... and with medical team in the offices!
- Social impact: You can participate in a large number of national and international volunteer programs and pro-bono projects where you can put your time and talent to serve those who need it most
- Culture of feedback and continuous learning: you will grow in an inclusive environment where equal opportunities and your personalized development plan will drive your growth
- Exclusive benefits for being part of Deloitte: you can enjoy a large catalog of benefits and a complete flexible remuneration plan
