Senior Data Scientist – Operations

Job not on LinkedIn

Yesterday

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of RD Station

RD Station

SaaS • B2B • eCommerce

RD Station is a Brazilian SaaS company that provides integrated marketing automation, CRM and customer service solutions. Its platform helps businesses attract and qualify leads, run email and WhatsApp campaigns, create landing pages, automate sales processes, deploy chatbots and manage omnichannel conversations, with analytics and AI features as well as an app marketplace and developer APIs. RD Station targets companies and agencies seeking to connect marketing, sales and support workflows to drive growth and retention.

1001 - 5000 employees

Founded 2011

☁️ SaaS

🤝 B2B

🛍️ eCommerce

📋 Description

• Design, build, and train Machine Learning and Deep Learning models, including LLMs, to solve high-impact problems. • Implement and maintain robust MLOps pipelines, automating the full model lifecycle. • Integrate AI models with front-end, back-end, and operational systems, ensuring high availability and scalability. • Monitor model performance in production, ensuring consistent performance and performing retraining when necessary. • Propose and implement innovative architectural solutions in MLOps and AI architecture.

🎯 Requirements

• Strong experience in Machine Learning Engineering with an emphasis on deployment and operationalization of models. • Proficient in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). • Experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Functions/Run, Compute Engine). • Proficiency in MLOps, including CI/CD, model versioning, and monitoring. • Solid knowledge of Machine Learning and Deep Learning algorithms.

🏖️ Benefits

• Holistic Well-being: We promote the holistic well-being of every employee through programs and benefits that enable self-care across five pillars: Emotional, Financial, Physical, Occupational, and Social. • Diversity & Inclusion: Diversity is part of who we are. Recognized among the Best Companies to Work for in Brazil, we actively promote inclusion and a sense of belonging.

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