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Machine Learning Engineer Job Opening In Colombia, Colombia – Now Hiring Xebia


Job description

Machine Learning Engineer

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation.

Since 2001, we have grown into a full-service digital consulting company with 5500+ professionals working on a worldwide ambition.

Driven by the desire to make a difference, we keep innovating.

Fueling the growth of our company with our knowledge worker culture.

When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high-quality way of working that inspires all we do.

About the Role

We are looking for a skilled and pragmatic Machine Learning Engineer to join our Data & AI team at Xebia.

In this role, you will design, develop, and deploy scalable machine learning solutions that drive real-world impact.

You will collaborate with data scientists, engineers, and product teams to turn prototypes into production-grade systems.

This is a great opportunity for someone passionate about applied machine learning, who values clean, efficient code and understands how to make ML systems robust and maintainable in production.

What You'll Do

  • Translate business objectives into data science problems, selecting appropriate algorithms and evaluation strategies.

  • Design and manage experiments to validate model performance and iterate on improvements.

  • Collaborate with data engineers to build robust and scalable data pipelines for model training and inference.

  • Design feature stores and pipelines that support reproducibility, traceability, and version control.

  • Ensure high data quality through validation, cleansing, and transformation techniques.

  • Deploy and monitor machine learning models in production using frameworks like MLflow, SageMaker, Vertex AI, or Kubeflow.

  • Build CI/CD workflows for ML systems to support retraining, testing, and versioning.

  • Develop APIs or services for real-time inference and integrate models into user-facing applications.

  • Implement monitoring solutions to track model performance, data drift, and service availability.

  • Conduct regular audits and retraining to ensure models remain accurate and unbiased over time.

  • Automate testing of data pipelines, features, and ML components for regression and reproducibility.

  • Partner with cross-functional teams to ensure ML solutions are aligned with business and product goals.

  • Participate in peer reviews, architecture discussions, and technical documentation.

  • Support internal knowledge-sharing initiatives and mentor junior engineers or data scientists

What You Bring

  • 5+ years of experience in a Machine Learning Engineer or Applied ML role.

  • Experience working as a Data Scientist or Data Engineer in the past.

  • Strong programming skills in Python and proficiency with data science libraries (pandas, NumPy, scikit-learn, etc.).

  • Experience training and tuning models for real-world applications using frameworks like TensorFlow, PyTorch, or similar.

  • Solid understanding of machine learning principles, algorithm selection, and evaluation metrics.

  • Hands-on experience deploying ML models to production environments (batch and/or real-time).

  • Familiarity with MLOps practices, including version control (Git), CI/CD, containerization (Docker), and orchestration tools (Kubernetes, Airflow).

  • Knowledge of cloud platforms (AWS, GCP, or Azure) and their ML/AI toolkits.

  • Experience working with large-scale data sets and building scalable ML pipelines.

  • Excellent communication skills in English, both verbal and written

Nice to have:

  • Experience with NLP, computer vision, or recommendation systems.

  • Knowledge of fairness, explainability, or interpretability in ML models.

  • Exposure to experiment tracking tools like MLflow, Weights & Biases, or
  • Familiarity with data lakehouse architectures and modern data stacks (e.g., Delta Lake, Snowflake).

  • Experience contributing to open-source ML projects or publishing research.

What We Offer

  • 100% remote work to provide flexibility and work-life balance.

  • Company laptop and necessary equipment to perform your role effectively.

  • Competitive salary aligned with local market benchmarks.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Colombia, Colombia, highlighting market share and opportunities for professionals in Machine Learning roles.

3314 Jobs in Colombia
3314
30 Jobs in Colombia
30
Download Machine Learning Jobs Trends in Colombia and Colombia

Are You Looking for Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Xebia adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Colombia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer?

Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Machine Learning Engineer?

To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Machine Learning Engineer Job Success

Xebia interview tips for Machine Learning Engineer

Here are some tips to help you prepare for and ace your Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Xebia's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer interview at Xebia, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Xebia's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Machine Learning Engineer Positions

Setting up job alerts for Machine Learning Engineer is easy with Colombia Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!