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