Responsibilities

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

Requirements

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.

📌 1772 Fullstack IA Engineer Senior (Medellín)
🏢 softgic
📍 Medellín