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AI Machine Learning Engineer - Remote - Colombia Job Opening In Pereira – Now Hiring FullStack Labs


Job description

Join to apply for the AI Machine Learning Engineer - Remote - Colombia role at FullStack Labs

About FullStack

FullStack is one of the fastest-growing software consultancy companies in the Americas.

We deliver transformational digital solutions to top global companies and Silicon Valley startups.

As an employee-first company, we focus on hiring the most talented candidates by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

What We’re Looking For

  • 4+ years of professional experience as an Artificial Intelligence Engineer, Machine Learning Engineer, or similar role.

  • Advanced English is required.

  • Successful completion of a four-year college degree is required.

  • Proven experience developing and optimizing AI/ML models using Python and frameworks like LangChain.

  • Deep understanding of large language models (LLMs), prompt engineering, and the latest trends in generative AI.

  • Hands-on experience with retrieval-augmented generation (RAG) techniques and vector databases (e.g., FAISS, Pinecone, Weaviate).

  • Solid experience integrating and deploying AI/ML solutions into production environments.

  • Ability to design and maintain scalable, reliable AI infrastructure on cloud platforms such as AWS, GCP, or Azure.

  • Strong skills in documenting AI/ML workflows, architectural decisions, and best practices.

  • Experience with MLOps, CI/CD pipelines, and maintaining production-grade AI systems.

  • Ability to work through new and difficult issues and contribute to libraries as needed.

  • Ability to create and maintain continuous integration and delivery of applications.

  • Forensic attention to detail.

  • A positive mindset and a can-do attitude.

  • Experience working on Agile / Scrum teams.

  • Meaningful experience working on large, complex systems.

  • Ability to take extreme ownership over your work.

    Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.

  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

  • Ability to consistently work 40 hours per week.

The Position

We're looking to hire a Senior AI Machine Learning Engineer to join our team.

You'll work with our incredible clients in two ways: Team Augmentation or Design & Build.

  • Team Augmentation: You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.

  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Offer

  • Competitive Salary.

  • Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).

  • 100% remote work.

  • The ability to work with leading startups and Fortune 500 companies.

  • Health policy with Sura 100% for you and up to 4 primary family members.

  • English Classes.

  • Food card.

  • Ample opportunity for career advancement.

  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Learn more about our Applicants Privacy Notice.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • IT Services and IT Consulting, Computer and Network Security, and Information Services
#J-18808-Ljbffr

Required Skill Profession

Tecnología Eléctrica Y Energética


  • Job Details

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Unlock Your AI Machine Potential: Insight & Career Growth Guide


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Are You Looking for AI Machine Learning Engineer Remote Colombia Job?

Great news! is currently hiring and seeking a AI Machine Learning Engineer Remote Colombia 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 FullStack Labs 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 AI Machine Learning Engineer Remote Colombia Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pereira. 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 AI Machine Learning Engineer Remote Colombia?

Key qualifications for AI Machine Learning Engineer Remote Colombia typically include Tecnología Eléctrica Y Energética 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 AI Machine Learning Engineer Remote Colombia?

To improve your chances of getting hired for AI Machine Learning Engineer Remote Colombia, 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 AI Machine Learning Engineer Remote Colombia Job Success

FullStack Labs interview tips for AI Machine Learning Engineer   Remote   Colombia

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

Before the Interview:

Research: Learn about the FullStack Labs'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 AI Machine Learning Engineer Remote Colombia interview at FullStack Labs, 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 FullStack Labs'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!

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