Tech Lead (Development Lead)

Bogotá - Colombia

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

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:

610 years of experience in software development.
English proficiency: B1 or higher.
Bachelors 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.

Required Experience:

Staff IC

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:

610 years of experience in software development.
English proficiency: B1 or higher.
Bachelors 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.

Required Experience:

Staff IC