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Machine Learning Engineer Job Opening In Sabana de Bogotá – Now Hiring CXAi


Job description

About Us

We're a fast-moving startup on a mission to revolutionize the call centre industry using the power of AI and Large Language Models.

We're building intelligent systems to enhance customer experience, supercharge agent performance, and drive operational excellence.

Through advanced conversational AI, we build systems that understand, adapt, and evolve with every conversation.

Our platform powers decision-support tools and intelligent virtual agents, helping call centers deliver faster, smarter, and more human customer service—where every interaction matters.

As a Data/ML Engineer on our founding team, you'll design and maintain the pipelines that transform messy, real-world customer data into clean, reliable datasets.

You'll also take ownership of training, deploying, and monitoring models that bring conversational AI into production.

This hybrid role is ideal for someone who enjoys both building strong data foundations and shipping AI systems that scale.

What You'll Do

  1. Data Engineering

  2. Design and maintain scalable pipelines to ingest, clean, and normalize omnichannel call center data (voice, chat, email, SMS).

  3. Ensure high data quality, reliability, and accessibility for downstream ML and analytics.

  4. Collaborate with data scientists to prepare annotated datasets for training and evaluation.

  5. Machine Learning Engineering

  6. Train, deploy, and monitor ML/LLM models in production (batch + real-time).

  7. Implement model versioning, experiment tracking, and retraining pipelines.

  8. Optimize inference for speed, scalability, and cost-efficiency.

  9. Build feedback loops to continuously improve model performance.

  10. Collaboration

  11. Work closely with product, engineering, and data science teams members

  12. Document and communicate your work clearly to both technical and non-technical stakeholders.

What You Bring

  • 3–6 years of experience as a Data Engineer, ML Engineer, or similar hybrid role.

  • Deep expertise in NLP and LLMs.
  • Strong skills in Python and SQL.

  • Experience building ETL/ELT pipelines with tools like Airflow, dbt, or Spark.

  • Hands-on experience training and deploying ML models (e.g., scikit-learn, PyTorch, TensorFlow).

  • Familiarity with cloud platforms (AWS, GCP, or Azure).

  • Knowledge of MLOps practices (model monitoring, experiment tracking, CI/CD for ML).

  • Comfort working with messy, real-world, multi-channel data.

Bonus Points For

  • Experience in or knowledge of the call centre / contact centre space.

  • Familiarity with voice-to-text models, real-time analytics, or conversation intelligence.

  • MLOps experience (e.g., model versioning, monitoring, CI/CD).

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 Sabana de Bogotá, Colombia, highlighting market share and opportunities for professionals in Machine Learning roles.

3321 Jobs in Colombia
3321
116 Jobs in Sabana De Bogotá
116
Download Machine Learning Jobs Trends in Sabana De Bogotá 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 CXAi 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 Sabana de Bogotá. 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

CXAi 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 CXAi'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 CXAi, 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 CXAi'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

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