1772 Fullstack IA Engineer Senior

AI Solution Development

• Lead the design, development, and implementation of end-to-end, scalable AI solutions.
• Build, train, and optimize Machine Learning and Deep Learning models.
• Continuously improve model performance, accuracy, and operational cost efficiency.

Full Stack Engineering

• Develop and integrate backend and frontend components for AI-powered applications.
• Design scalable, secure, and high-performance software architectures.
• Ensure code quality through testing, code reviews, and software development best practices.

Data Science & Predictive Modeling

• Analyze large datasets to identify patterns and develop predictive models.
• Implement data preparation, cleansing, and transformation pipelines.
• Develop advanced analytics solutions to solve complex business challenges.

Cloud & MLOps

• Build and deploy AI solutions using Machine Learning services on AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Integrate AI models into scalable cloud infrastructures.
• Optimize model deployment, monitoring, maintenance, and lifecycle management in production environments.

Innovation & Technical Leadership

• Provide technical leadership for strategic Artificial Intelligence initiatives.
• Mentor and guide engineers across the team, promoting technical excellence and best practices.
• Research emerging AI technologies, tools, and industry trends to drive continuous innovation.

Documentation & Communication

• Document system architectures, technical processes, and design decisions.
• Communicate project progress, technical findings, and business impact effectively to both technical teams and business stakeholders.

Requisitos

Required Qualifications

• 6-7 years of professional experience as a Full Stack Engineer.

• Advanced proficiency in Python.

• Strong experience with Java or Scala.

• Extensive experience designing and developing Artificial Intelligence solutions.

• Hands-on expertise with Machine Learning frameworks, including:

  • TensorFlow

  • PyTorch

• Experience using:

  • pandas

  • scikit-learn

• Experience working with cloud platforms, including:

  • Amazon Web Services (AWS)

  • Google Cloud Platform (GCP)

  • Microsoft Azure

• Knowledge of cloud-based Machine Learning services.

• Proven experience building advanced predictive models.

• Strong understanding of:

  • Software architecture

  • Scalable systems design

  • Data structures

  • Algorithms

• Proven experience developing Full Stack applications.