puestos de Machine Learning en United States

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