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Machine Learning Engineer Job Opening In Medellín – Now Hiring Blue Orange Digital


Job description

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes.

We partner with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions.

Our team is fully remote, globally distributed, and driven by curiosity, impact, and innovation.



Company overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results.

We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Position overview:

Blue Orange is seeking to expand our Team of expert consultants with an experienced Machine Learning Engineer to address a set of expanding opportunities in the next several months.

The ideal candidate will possess a deep passion for machine learning, AI tech and innovative data solutions with proficiency in advanced machine learning techniques, strong skills in programming languages such as Python, expertise around data analytics and feature engineering, experience working with some of the main ML and D frameworks, a proven track record of working with cloud-native solutions in at least 1 of the main clouds (AWS, GCP, Azure, or Snowflake, etc.), MLOps and LLMs, and strong proficiency in the end-to-end ML/AI cycle, from ideation to production.

The candidate will play a crucial role in driving our machine-learning initiatives forward.

The candidate will have excellent communication skills to collaborate with technical and non-technical stakeholders effectively.

At Blue Orange, you'll have the opportunity to work on cutting-edge projects, leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Responsibilities:


  • Collaborate with cross-functional teams to understand business requirements and design to productionize Gen AI solutions into practical product driven applications.

  • Design and implement application integrations to leverage newly build GenAI Products.

  • Build solutions that improve delivery speed and scalability of product pipelines.

  • Leverage managed and serverless cloud offerings to create performant and scalable cloud native application solutions and data pipelines.

  • Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs.

  • Work closely with GenAI engineers and researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment.

  • Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, and explore innovative approaches to enhance Gen AI capabilities.

Requirements:


  • Experience with NLP and LLM-based technologies and frameworks.

  • Proficiency in programming languages such as Python and JavaScript is preferred.

  • Proven track record of successful delivery of software engineering projects.

  • Ability to think and learn on your feet, and the ability to quickly become proficient with new technologies in a fast-paced environment.

  • Understanding and passion for Test Driven Design.

  • Familiarity with ETL concepts and best practices.

  • Experience with prompt engineering and RAG techniques preferred.

  • Excellent problem-solving skills, critical thinking abilities, and attention to detail.

  • Effective communication skills and the ability to collaborate effectively in a team environment.

  • Passion for AI and a desire to contribute to the advancement of Gen AI technologies.

  • Strong problem-solving and analytical skills.

  • Self-driven and autonomous.

  • Excellent verbal and written communication skills.

  • Team player.

  • Eagerness to learn and adapt in a fast-paced environment.

  • 5+ years of industry experience as a hands-on practitioner of software engineering and proven experience with cloud offerings.

  • 3+ years of experience with cloud platforms such as AWS.

  • Experience with Docker preferred.

  • Bachelor's degree or higher in Computer Science or a related field.

Preferred qualifications:


  • Advanced degree in a relevant field.

  • Publications in relevant AI/ML communities and journals.

  • Experience fine-tuning OpenSource LLMs and deploying them.

  • MLFlow, etc., a plus.

Benefits:


  • Fully remote

  • Flexible Schedule

  • Unlimited Paid Time Off (PTO)

  • Paid parental/bereavement leave

  • Worldwide recognized clients to build skills for an excellent resume

  • Top-notch team to learn and grow with

Salary: USD $7,454 - $9,486 (monthly salary range)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal opportunity employer.

Required Skill Profession

Computer Occupations


  • 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 Medellín, Colombia, highlighting market share and opportunities for professionals in Machine Learning roles.

3314 Jobs in Colombia
3314
19 Jobs in Medellín
19
Download Machine Learning Jobs Trends in Medellín 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 Blue Orange Digital 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 Medellín. 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 Computer Occupations 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

Blue Orange Digital 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 Blue Orange Digital'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 Blue Orange Digital, 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 Blue Orange Digital'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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