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At Talentus General, we are looking for you!

We are a U.S. company with a strong presence in LATAM and across 20+ countries around the world. Some of our key near‑shore BPO services include: smart‑sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions—driven by our practices across many industries, including Higher Education.

We are currently looking for an AI / ML Engineer, to become a valuable addition to our dynamic team!

Responsibilities

- Design, develop, and deploy machine learning and AI models to solve complex business problems.
- Build, train, evaluate, and optimize machine learning models using large and diverse datasets.
- Develop scalable data pipelines and feature engineering processes to support machine learning workflows.
- Implement and maintain production‑ready ML systems, ensuring reliability, performance, and scalability.
- Integrate AI and machine learning solutions into existing applications, platforms, and APIs.
- Collaborate with data scientists, software engineers, and product teams to translate business requirements into AI solutions.
- Apply best practices for model testing, validation, monitoring, and lifecycle management.
- Implement MLOps practices including model versioning, CI/CD pipelines, automated training, and model monitoring.
- Work with cloud‑based AI/ML services and infrastructure to support scalable deployments.
- Continuously evaluate and improve model performance through experimentation and tuning.
- Document models, pipelines, and workflows to ensure reproducibility and maintainability.
- Stay up to date with emerging AI and machine learning technologies and apply them when relevant.

Qualifications





- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field.
- 4–6 years of experience developing machine learning or AI solutions in production environments.
- Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or Scikit‑learn.
- Experience building and deploying machine learning models in production environments.
- Solid understanding of machine learning algorithms, model evaluation, and feature engineering techniques.
- Experience working with large datasets and data processing frameworks.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with containerization technologies such as Docker and orchestration tools like Kubernetes is a plus.
- Understanding of MLOps practices, including model monitoring, retraining strategies, and CI/CD pipelines.
- Experience working with APIs, microservices architectures, and scalable distributed systems.
- Strong analytical and problem‑solving skills with the ability to translate business needs into technical solutions.
- Good communication skills and ability to collaborate with cross‑functional teams.
- Advanced English proficiency skills (C1) required.

What do we offer?

- Contractor model
- Remote model
- Salary in $USD
- Paid Vacations
- Day off for birthdays
- Benefits courses and/or certifications
- Opportunity to work with top‑tier U.S. clients.
- Entrepreneurial, multicultural team culture.
- Work–Life Balance program: 4‑day work week (Monday to Thursday)

Join us if you have what it takes to be part of the Talentus Global Team!

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Postúlate en Kit Empleo: kitempleo.com.co/empleo/1aark3

📌 AI / ML Engineer - (LATAM CANDIDATES ONLY) (Colombia)
🏢 Talentus Business Enhancement Partners
📍 Colombia