Senior Machine Learning Engineer

Traive; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A Traive, uma empresa inovadora em tecnologia, está em busca de um Engenheiro de Aprendizado de Máquina Sênior. Neste papel essencial, você terá a oportunidade de projetar e implantar modelos de aprendizado de máquina, colaborar em equipes multifuncionais e usar tecnologias de ponta para transformar grandes volumes de dados em insights valiosos. Se você é apaixonado por inovação e tem experiência em ambientes de produção, queremos ouvir de você!

Serviços

Plano de Saúde

Seguro Dental

Benefício de Refeição

Incentivo à melhoria das habilidades linguísticas

Programa de incentivo ao ginásio (Gympass)

Qualificações

• Mínimo de 4 anos de experiência em engenharia de aprendizado de máquina em ambientes de produção.
• Experiência com ferramentas de orquestração de fluxo de trabalho.
• Conhecimento de práticas de CI/CD no contexto de ciência de dados.

Responsabilidades

• Desenvolver e implantar modelos de aprendizado de máquina em grande escala.
• Colaborar com equipes para integrar modelos em produtos.
• Monitorar e ajustar o desempenho dos modelos para resultados ótimos.

Conhecimentos

Engenharia de Aprendizado de Máquina

Proatividade

Resolução de Problemas

Fluência em Inglês

Fluência em Espanhol

Fluência em Português do Brasil

Formação académica

Grau em Ciência da Computação ou Data Science

Ferramentas

Databricks

MLflow

Apache Spark

Descrição da oferta de emprego

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