Tech Lead (Development Lead)

Trajectory Inc.; Bogotá; Presencial; COP 40.000.000 - 70.000.000; Jornada completa

Descripción de la vacante

Trajectory Inc. seeks a Tech Lead to provide technical leadership for a development team, guiding architecture, quality, and delivery of ML-enabled software solutions. You will design scalable systems using React for UI and Django for backends, and mentor engineers across ML and software domains.

The role emphasizes collaboration with Product, QA, and DevOps, with a focus on production deployment, CI/CD, and model monitoring. Strong English (B1+) and a BS in CS or related field are required.

Formación

• 6–10+ years of experience in software development
• Hands‑on experience with Machine Learning and AI systems
• Proficiency in languages such as Python, Java, JavaScript, Go, or TypeScript
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
• Strong background in software architecture and distributed systems
• Knowledge of MLOps, CI/CD, and model deployment
• Experience with cloud platforms (AWS, GCP, or Azure)

Responsabilidades

• Lead the technical development of AI and Machine Learning‑based solutions
• Coordinate workflows between Software Engineers, Data Scientists, and ML Engineers
• Oversee data pipelines, model training, and production deployment (MLOps)
• Define standards for development, testing, and model monitoring
• Perform code reviews and ensure engineering best practices
• Drive decision-making regarding technologies, frameworks, and tools
• Collaborate with Product, QA, and DevOps teams
• Mentor the team in development and ML best practices

Conocimientos

Team leadership

Software development

AI/ML knowledge

Educación

Bachelor's Degree in Computer Science, Information Systems, or related field

Herramientas

Python

Java

JavaScript

Go

TypeScript

TensorFlow

PyTorch

Scikit-learn

AWS

GCP

Azure

Docker

Kubernetes

Descripción del empleo

The Tech Lead is responsible for providing technical leadership to a development team, ensuring software quality, proper architectural implementation, and efficient delivery of technological solutions aligned with business objectives.. Responsibilities:

• Lead the technical development of AI and Machine Learning-based solutions.
• Development of service-based applications, using React for the UI and Django for the backends.
• Design system architectures that integrate ML models into applications and services.
• Coordinate workflows between Software Engineers, Data Scientists, and ML Engineers.
• Oversee the development of data pipelines, model training, and production deployment (MLOps).
• Define standards for development, testing, and model monitoring.
• Perform code reviews and ensure engineering best practices.
• Participate in the selection of AI frameworks and toolsets.
• Ensure system scalability, performance, and reliability.
• Mentor the team in development and ML best practices.
• Provide technical guidance to the developer team.
• Design and define the technical architecture of applications and services.
• Collaborate with Product, QA, and DevOps teams.
• Drive decision-making regarding technologies, frameworks, and tools.

Qualifications:

• 6–10+ years of experience in software development.
• English proficiency: B1+ or higher.
• Bachelor's Degree in Computer Science, Information Systems, or related field.
• Proven experience leading technical teams.
• Hands‑on experience with Machine Learning and AI systems.
• Proficiency in languages such as Python, Java, JavaScript, Go, or TypeScript.
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong background in software architecture and distributed systems.
• Knowledge of MLOps, CI/CD, and model deployment.
• Experience with cloud platforms (AWS, GCP, or Azure).

Desirable skills:

• Knowledge of DevOps and cloud infrastructure management, including containers and orchestration with Docker and Kubernetes.
• Familiarity with Agile methodologies (Scrum, Kanban) and collaborating in multidisciplinary teams.
• Technical mentoring and leadership abilities, promoting engineering excellence and software quality.
• Experience in testing, validation, and automation of AI models.