Job Summary: We are seeking a Senior Data Scientist to develop solutions leveraging GenAI, classical ML engineering, cloud architecture, and AI monitoring—driving innovation. Key Highlights: 1. GenAI and LLMs Solution Development 2. Classical Machine Learning Engineering 3. Cloud AI Architecture and Integration ### **Join South System and Take Off!** We are looking for a Senior Data Scientist to board our spaceship and together propel people and businesses forward through innovation. #### **Location: Remote** **Responsibilities:** * **GenAI Solution Development:** Design and implement applications based on Large Language Models (LLMs), including autonomous agents, recommendation systems, and service automation. * **Classical Machine Learning Engineering:** Develop, train, and deploy predictive models and traditional machine learning algorithms. * **Cloud Architecture and Integration:** Build, orchestrate, and integrate AI services in cloud computing environments, handling message queues and workflow automation. * **Monitoring and Observability:** Implement and manage observability for AI applications, monitoring performance, costs, and model response quality in production. * **Prototyping and Analysis:** Extract insights from complex data (e.g., transcripts and conversation logs) and build functional prototypes to validate new AI hypotheses. **Mandatory Requirements:** * **Programming Language:** Advanced proficiency in **Python** (including data analysis and manipulation libraries such as Pandas and NumPy). * **Classical Machine Learning:** Solid experience with **Scikit-learn**, and statistical fundamentals for model training and validation. * **Generative AI Ecosystem:** Proven hands-on experience with LLM orchestration frameworks such as **LangChain, LangGraph, Strands Agents**, etc. * **Cloud Computing (AWS):** Experience developing solutions using Amazon Web Services infrastructure, with focus on **SageMaker**, **Amazon Bedrock**, and serverless computing (**AWS Lambda**, EC2**).** * **Cloud Computing (Azure):** Experience with Microsoft **Azure**, including integration with enterprise messaging services for task automation. * **AI Data Infrastructure:** Experience building and performing semantic search using **Vector Stores** (e.g., **Pinecone**). * **Observability and Basic MLOps:** Practical knowledge of implementing tracing and LLM evaluation tools, with emphasis on **Langfuse**. **Preferred Qualifications:** * **MLOps Practices:** Experience in productionizing, versioning models, and building CI/CD pipelines for machine learning. * **Serverless Infrastructure Management:** Practical knowledge using the **Serverless Framework** to deploy and automate cloud services (e.g., AWS Lambda). * **Data Visualization:** Ability to create dashboards and explore data using BI tools such as **Metabase**. * **Other Cloud Platforms:** Knowledge or prior experience with Google Cloud Platform (**GCP**). * **Rapid Prototyping:** Familiarity with developing simplified user interfaces for demonstrating data projects (e.g., Streamlit). * **Specialized Knowledge:** Understanding of Reinforcement Learning and advanced Natural Language Processing (NLP) for chatbot conversation analysis. **Differentiating Benefits:** * Access to courses and certifications on **Udemy**, curated and guided by the Business Partner team. * **Remote work allowance** to enhance your daily comfort. * **Financial education** to support your economic well-being. * **Flash Card.** Interested in this opportunity? Now let’s continue showing why joining South is so special: * We’re recognized by our team: we’ve been named **twice among the best companies to work for in Brazil (GPTW)**, and hold a **4.9 rating** on **Glassdoor and Indeed**. * We were honored at the **LinkedIn Talent Awards**. * We commit to the future: we are **carbon neutral**, offsetting 100% of our carbon emissions. * We operate with **remote and hybrid work models**, depending on the role and project. Our Culture: * We value **continuous growth and development.** * We foster a culture rooted in **respect, collaboration, and loyalty.** * We are **diverse, inclusive, and believe in the power of pluralism across our teams.**