• Collaborate with researchers to understand project requirements and translate them into OHDSI/DARWIN‑compatible solutions • Build, validate, and execute OMOP CDM cohorts and analyses using: ATLAS (cohort definition, characterization, exploration) ATHENA (vocabulary browsing, concept sets) ACHILLES (data characterization and quality insights) R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows) • Perform analyses using ATLAS and/or Prometheus or via programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns • Customize and extend OHDSI tools and applications as needed to support project- or portfolio-specific requirements • Apply and document observational study designs and epidemiologic concepts for RWE (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable) • Implement and interpret appropriate statistical methods, including confounding control strategies, time-to-event approaches, sensitivity analyses, and fit-for-purpose evaluations • Maintain familiarity with machine learning and statistical concepts to support exploratory modeling, feature engineering, prediction workflows (when relevant), and method selection • Develop reusable and maintainable analytic code, prioritizing reproducibility and auditability (clear methods, parameterization, and structured outputs) • Incorporate AI-assisted workflows (nice to have and can be taught) to improve efficiency in: Code generation/refactoring Validation and QA checks Documentation and study write-ups Exploratory analysis and summary generation while ensuring results remain transparent, traceable, and scientifically defensible • Use GitHub extensively (branching, pull requests, code reviews, issue tracking) to deliver collaborative, production-grade analytics

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1) This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI . If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers , and hands-on experience working with PyTorch . We’re looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you’ll not only design and prototype novel ML/DL models , but also productionize them end-to-end, integrating your solutions into our data pipelines and services. You’ll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch . Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications. Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale ( Docker , Kubernetes , CI/CD ). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas , NumPy , and Spark . Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production-grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA . Document architecture and workflows using PlantUML or comparable tools. Cross-Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services . We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI . Our talented AI developers are trusted to deliver Top AI Development services in Generative AI , intelligent automation, and custom machine learning solutions. At Azumo , we believe in professional and personal growth. As a recognized AI Development company , we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co Requirements Minimum Qualifications Bachelor’s or Master’s in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning ( CNNs , Transformers , LLMs ). Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions . Expert in pandas , NumPy and scikit-learn . Familiarity with Agile/Scrum practices and tooling ( JIRA , Confluence ). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms ( AWS , GCP , or Azure ) and their AI-specific services like Amazon SageMaker , Google Vertex AI , or Azure Machine Learning . Familiarity with big-data ecosystems ( Spark , Hadoop ). Practice in CI/CD & container orchestration ( Jenkins/GitLab CI , Docker , Kubernetes ). Exposure to MLOps/LLMOps tools ( MLflow , Kubeflow , TFX ). Experience with Large Language Models , Generative AI , prompt engineering , and RAG pipelines . Hands-on experience with vector databases (e.g., Pinecone , FAISS ). Experience building AI Agents and using frameworks like Hugging Face Transformers , LangChain or LangGraph . Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration

Overview At Advocate, our mission is to empower Americans to obtain the government support they've earned. Advocate aims to reduce long wait times and bureaucratic obstacles of the current government benefits application process by developing a unified intake system for the Social Security Administration, utilizing cutting-edge technologies such as artificial intelligence and machine learning, crossed with the knowledge and experience of our small team of EDPNA’s and case managers. We are seeking a highly organized and dedicated Case Manager to join Advocate and oversee the progress of disability cases at the Initial Application (IA) and Reconsideration (Recon) levels. You will manage a large caseload and work directly with claimants, ensuring they receive regular updates and assistance throughout the process. Your role will include analyzing medical records, filing recon appeals, and collaborating with SSA/DDS to resolve case-related issues. If you have strong time-management skills and thrive in a fast-paced, client-focused environment, this position will allow you to make a meaningful impact on the lives of claimants. Job Responsibilities Conduct Welcome Calls, file appeals, take action on claims needing attention, respond to Claimant calls, SMS, and emails, and other claim management work streams Offer an empathetic, best-in-class experience for our claimants Proactively communicate with claimants, ensuring they are informed of the progress of their cases. Collaborate with SSA/DDS to resolve case-related issues and keep the case on track. Use our technology to support claimants through the application and adjudication process Help improve our technology and operations, providing feedback to strengthen our ability to help claimants Proactively identify challenges and offer solutions. Qualifications

• Apply advanced analytics techniques to solve complex business problems across finance and market risk domains. • Develop and maintain the finance data mart, with a focus on optimizing data quality, accessibility, and efficiency. • Create insightful dashboards to monitor financial KPIs, profitability metrics, and regulatory reporting requirements. • Collaborate cross-functionally with finance, risk, and product teams to provide business intelligence support for financial reporting, product performance analysis, and forecasting. • Productionize and make continuous improvements to Wealthsimple’s machine learning models, ensuring that models are well tested, documented and maintained. • Build automation tools and pipelines to increase team efficiency and scalability. • Design and execute product experiments to help improve Wealthsimple’s client experience. • Translate analytical findings into actionable business solutions. • Build and enhance data assets that support a variety of analytics tasks across the business.