Senior Machine Learning Engineer

Ubiquity; Bogotá; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

Ubiquity seeks a Senior Machine Learning Engineer in Bogotá to design, develop, and deploy advanced ML models addressing complex business problems and driving innovation across products and services. You will collaborate with cross-functional teams and mentor junior engineers, shaping AI-driven solutions.

The role requires a strong background in Python and ML frameworks (TensorFlow/PyTorch), plus experience with cloud platforms.

Formación

• Bachelor's or master's degree in CS, Engineering, Statistics or related field.
• 3+ years of experience in Machine Learning, Data Science, or related field.
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Solid understanding of ML algorithms and software engineering best practices.
• Experience with cloud platforms AWS, Azure or GCP is a plus.

Responsabilidades

• Design, develop, and optimize machine learning models and algorithms.
• Collaborate with cross-functional teams to identify and prioritize ML use cases.
• Build and maintain data pipelines for model training, validation, and deployment.
• Evaluate model performance and continuously improve ML solutions.
• Stay up to date with the latest ML technologies and best practices.
• Mentor junior engineers and provide technical guidance.
• Partner with Product Owners and stakeholders to deliver business-driven AI solutions.
• Support recruitment and onboarding of new Machine Learning Engineers.

Conocimientos

Python programming

ML algorithms

TensorFlow

PyTorch

Cloud platforms (AWS/Azure/GCP)

Educación

Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field

Herramientas

TensorFlow

PyTorch

AWS

Azure

GCP

Descripción del empleo

About us: Come as U are, because U Matter at Ubiquity.

Recognized as the #1 CX provider for disruptors and innovators across financial services, healthcare, and e-commerce, Ubiquity was founded on the belief that our clients and their customers deserve better. Headquartered in New York City with delivery locations in Europe, Asia, and the Americas, Ubiquity provides multilingual, end-to-end solutions for customer experience management, back-office/risk operations, and business transformation.

We're Hiring!

English is a Must, Non-bilingual candidates won't be considered for this position.

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our Research & Development team. In this role, you will play a critical part in the design, development, and deployment of advanced machine learning models and solutions to address complex business problems and drive innovation across our products and services.

Key Responsabilities

• Design, develop, and optimize machine learning models and algorithms.
• Collaborate with cross-functional teams to identify and prioritize ML use cases.
• Build and maintain data pipelines for model training, validation, and deployment.
• Evaluate model performance and continuously improve ML solutions.
• Stay up to date with the latest ML technologies and best practices.
• Mentor junior engineers and provide technical guidance.
• Partner with Product Owners and stakeholders to deliver business-driven AI solutions.
• Support recruitment and onboarding of new Machine Learning Engineers.

What We're Looking For

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
• 3+ years of experience in Machine Learning, Data Science, or a related field.
• Strong experience with Python and machine learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of machine learning algorithms and software engineering best practices.
• Experience with AWS, Azure, or Google Cloud Platform (GCP) is a plus.

“We’re committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, or disability, we believe that we’re at our best when everyone can contribute their ideas and feels free to be their most authentic self”.