Machine Learning Engineer, Mid-level

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Spassu

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Digital Transformation • SaaS • Technology

Spassu is a Brazilian company specializing in end-to-end digital transformation solutions. With over 30 years of experience, Spassu focuses on maximizing value delivery by simplifying processes and improving decision-making throughout its partners' journeys. The company employs experts in user experience, design thinking, and agile methodologies to co-create innovative solutions that meet the needs of diverse industries. By leveraging a multidisciplinary approach and applying best practices like ITIL and LEAN, Spassu facilitates continuous improvement and ensures the effective implementation of IT services across various sectors.

1001 - 5000 employees

Founded 1992

☁️ SaaS

📋 Description

• Responsible for the maintenance and project delivery of systems in the artificial intelligence area, including documentation, development of AI applications, integration of AI into existing systems, development of AI infrastructure, data analysis and insights discovery, ongoing maintenance and support, training and enablement, development projects, evolutionary maintenance, adaptive maintenance, data migration, corrective maintenance, special investigations and support. • Work on product development with a focus on user metrics, experiment design, and identifying improvements; understand user behavior, test features and use predictive models to forecast product success. • Understand usage patterns, design A/B tests and identify potential areas for product improvement. • Translate business problems into applicable AI solutions for the product, defining technical approaches and metrics, and supporting the team in prioritization and roadmap planning. • Collect, clean, structure and validate data to ensure the quality and availability required for model development. • Build, train, evaluate and document AI/ML models, ensuring performance, robustness and alignment with product use. • Implement and develop services and APIs that expose AI models in production, ensuring security, performance and good integration with the product. • Develop and integrate AI microservices into the product ecosystem, ensuring scalability, resilience and compatibility with the existing architecture. • Create and maintain automated pipelines for versioning, training, validation and continuous deployment of AI models. • Monitor models in production, detect degradations, investigate incidents and ensure stable operation with fallback mechanisms. • Conduct experiments and continuous tuning to improve model impact and enhance user experience. • Containerize and orchestrate AI services in the cloud, ensuring efficient, scalable environments and cost best practices. • Collaborate in agile routines, perform code reviews and produce clear technical documentation that supports the evolution of AI services.

🎯 Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Computer Engineering or related IT fields, or postgraduate degree (specialization, master's or doctorate) with an emphasis on data analysis, of at least 360 hours, in a program recognized by Brazil's Ministry of Education (MEC). • Desired experience: 3 years working in information technology in development, system maintenance, data analysis, data science, analytics or related areas. • Experience developing projects applying AI (Machine Learning, Deep Learning and/or Generative AI). • Proven hands-on experience in data analysis, statistical modeling and development of machine learning models and LLMs, preferably in a corporate or industrial environment. • Experience with programming languages such as Python, R and SQL, and with popular data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Pylearn2, among others. • Proven experience in backend development with Python. • Practical experience developing RESTful APIs. • Proficiency with frameworks such as FastAPI, Django or Flask.

🏖️ Benefits

• Health Insurance • Life Insurance • Meal or Food Allowance • Transportation Allowance • WellHub • Gympass