Senior AI Engineering Analyst

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Lead the technical development of sophisticated artificial intelligence algorithms and solutions.

• Spearhead the design, coding, and optimization of machine learning and deep learning models.

• Establish strategies for data processing, analysis, and utilization to build scalable AI solutions.

• Ensure seamless integration of models with intricate systems and pipelines.

• Provide technical expertise to the team regarding the selection of frameworks, libraries, and best practices.

• Oversee the validation, monitoring, and governance of models in live production environments.

• Design, develop, test, and maintain machine learning solutions tailored for production settings.

• Construct data pipelines for data collection, processing, model training, validation, and monitoring.

• Innovate, optimize, and deploy machine learning and artificial intelligence algorithms.

• Release models into production utilizing MLOps, automation, and continuous integration methodologies.

• Track the performance, accuracy, availability, and efficiency of models in production.

• Collaborate with Product, Data Engineering, Data Science, and Architecture teams.

• Conduct data analysis and preparation, feature engineering, and ongoing model enhancement.

• Create APIs and services to make AI and ML models accessible to applications and users.

• Ensure the quality, security, scalability, and governance of developed solutions.

• Document processes, architectures, and technical procedures thoroughly.

• Facilitate the sharing of technical knowledge and best practices within the team.

• Engage in architectural decisions and contribute to the company's technological advancement.

⛳️ Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, Statistics, or a related discipline.

• Proven experience in software development using Python, Java, or a comparable programming language.

• Strong understanding of machine learning, deep learning, and artificial intelligence algorithms.

• Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.

• Comprehensive knowledge of statistics, probability, and mathematical modeling.

• Experience with SQL and NoSQL database systems.

• Understanding of microservices architecture and REST APIs.

• Proficient in Docker, Kubernetes, and containerization technologies.

• Experience in cloud computing environments like AWS, Azure, or Google Cloud Platform.

• Familiarity with Git, CI/CD, and DevOps methodologies.

• Experience with MLOps, monitoring, and managing the model lifecycle.

• Knowledge of data processing and data engineering principles.

• Strong analytical thinking and complex problem-solving capabilities.

• Excellent communication skills with the ability to articulate technical concepts to varied audiences.

• Collaborative mindset and experience in multidisciplinary teams.

• Proactive attitude and a strong sense of ownership.

• Ability to engage in continuous learning and adapt to emerging technologies.

• Results-driven approach, focusing on delivering business value.

🏝️ Benefits

• Bradesco health insurance (30% copayment)

• Bradesco dental insurance (no employee contribution)

• Life insurance

• Wellhub (formerly Gympass)

• Childcare assistance

• Support for children with special needs

• Payroll-deducted loans

• Private pension plan

• Pet care plan

• SESC benefits

• Conexa telemedicine

• Expense allowance

• Meal and food allowance

• Multi-benefit card

• Health insurance upgrade

• Extended maternity and paternity leave

• INMaterna Program: support for expectant mothers

• Birth gift basket and the book “It Happened When I Was Born”

• Professional development opportunities: courses available through the internal university

• Options for 100% remote or hybrid work, depending on project needs