Senior Data Scientist

Description

Job Summary: FCamara is seeking a Senior Data Scientist to serve as a technical reference in MLOps, collaborate with multidisciplinary teams, and drive continuous improvement within an innovative environment. Key Highlights: 1. Serve as a technical reference in MLOps 2. Collaborate with multidisciplinary teams on scalable solutions 3. Promote knowledge sharing and technical advancement FCamara is looking for a Senior Data Scientist to join a leading Brazilian pharmacy company, a reference in Health and Well-being, with over 2,000 stores across all Brazilian states. **Responsibilities and Duties** * Serve as a technical reference in MLOps, promoting best practices among data science and engineering teams. * Collaborate multidisciplinarily with data scientists, engineers, architects, and product squads to ensure delivery of robust and scalable solutions. * Proactively resolve problems, contributing to continuous improvement of processes, tools, and ML architecture. * Support incidents in staging and production environments, leading root cause identification, agile fixes, and improvement suggestions. * Demonstrate autonomy and ownership in defining deployment strategies, architecture, and model monitoring. * Translate technical and business requirements into practical, sustainable production solutions. * Promote knowledge sharing, contributing to the team’s technical growth and fostering a culture of operational excellence. * Adopt a product mindset and systemic view of the full lifecycle of ML models in production. **Requirements and Qualifications** * Solid experience in **developing and deploying Machine Learning models** on cloud platforms such as **GCP**, **Azure**, or **AWS**. * Proficiency in **CI/CD practices applied to the ML lifecycle**, using tools such as **Jenkins**, **Azure DevOps Pipelines**, **CloudBuild**, etc. * Practical knowledge of using **Airflow** for batch pipeline automation. * Experience with **online model orchestration via APIs**, using **Kubernetes (K8s)** and managed services such as **Cloud Run**. * Ability to build end-to-end **re-training, deployment, and monitoring pipelines**, using tools such as **Kubeflow**, **Vertex AI Pipelines**, etc. * Experience with **scalable deployment of containerized models in cloud environments**, including autoscaling and resource configuration. * Familiarity with **canary deployment, blue/green, and shadow deployment strategies** to minimize production risks. * Advanced knowledge of **model and infrastructure monitoring tools**, such as **Prometheus**, **Grafana**, **Rancher**, and custom dashboards. * Ability to define **cloud-based ML architectures** aligned with project requirements, considering cost, performance, and scalability. * Hands-on experience implementing **streaming data pipelines** for real-time ingestion, processing, and consumption. * Strong understanding of **MLOps principles**, including versioning, traceability, testing, and model lifecycle management. * Desired: experience building internal tools or frameworks (e.g., **FenixAI**) to standardize and empower teams on ML infrastructure. **Additional Information** **We are \#SangueLaranja!** We have been in the market for 17 years, working side-by-side with our clients to deliver transformative experiences. We are a technology and innovation ecosystem with global expansion; beyond Brazil, we operate in Europe and the UK, with offices in Portugal, London, Dubai, and the Netherlands. **F for Formation: we believe in practicing a culture of sharing, community spirit, and that knowledge** **has the power to transform!** We run initiatives and social actions that foster development, such as the Orange Juice tech community, the Training Program, our leadership school, and numerous partnerships with NGOs and Edtechs. **At FCamara, everyone is welcome — for us, Diversity, Respect, and Ethics are non-negotiable and part of our DNA.** **So, are you ready to join an amazing team and become the protagonist of your own story?**