SENIOR MACHINE LEARNING ENGINEER

Senior Machine Learning Engineer - We are looking for a Senior Machine Learning Engineer to join our technology team at Traive. This role is critical to the evolution of our AI-driven platform, where you will have the opportunity to design and deploy machine learning models at scale, collaborate with cross-functional teams, and leverage cutting-edge technologies to transform large volumes of data into valuable insights. If you are passionate about innovation, have strong experience in production environments, and want to make an impact at a company that is revolutionizing the market, we want to hear from you! Duties/Responsibilities: As a Senior Machine Learning Engineer at Traive, you''ll be at the heart of our AI-driven platform, playing a pivotal role in: Designing, developing, and deploying machine learning models at scale using Databricks and MLflow Collaborating with data engineering and product teams to seamlessly integrate ML models into products Leveraging modern production ML concepts, including both offline and online feature stores, to enhance model accuracy and efficiency Utilizing Apache Spark for big data processing to handle vast data streams effectively Implementing and maintaining workflow orchestration to streamline ML processes from data ingestion to model deployment Ensuring best practices in CI/CD are adopted for continuous model training, validation, and deployment Monitoring model performance and making necessary adjustments for optimal results Keeping up with latest advancements in ML and incorporating relevant methodologies and tools to maintain a competitive edge Required Qualifications & Skills: Degree in Computer Science, Data Science, AI, or a related quantitative field Proven track record in machine learning engineering with a minimum of 4 years of relevant experience in production environments Proficiency in using Databricks and MLflow for end-to-end ML model development and management Solid understanding of modern production ML concepts and the end-to-end ML workflow Demonstrable expertise in Apache Spark and its integration with machine learning workflows Experience in workflow orchestration tools and methodologies In-depth knowledge of CI/CD practices, especially in the context of data science Strong modeling skills and ability to develop complex machine learning models Fluency in English, Spanish, and Brazilian Portuguese (both spoken and written) Proactive problem-solving skills with the ability to work both autonomously and collaboratively in a dynamic setting Preferred Qualifications: Hands-on experience in various ML frameworks and libraries beyond Databricks and MLflow Previous exposure to cloud-based ML solutions, especially within the AWS or Azure ecosystems Familiarity with other ML tools and platforms that can integrate with or complement Databricks and MLflow Experience with large language models and deploying infrastructure supporting such applications Benefits: PJ Contractor Health Insurance Plan Dental Insurance Meal benefit Food benefit Language skills improvement incentive Gym incentive program (Gympass) Location: Remote #J-18808-Ljbffr