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Data Engineer/ML Engineer Job Opening In WorkFromHome – Now Hiring Lilo


Job description

Overview

Lilo is revolutionizing procurement for Commercial Real Estate (CRE) businesses by providing a single platform to automate and optimize procurement processes using AI.

From hotels to gyms, schools, and senior living homes, we streamline workflows like invoicing, vendor management, and price comparisons, saving our clients both time and money.

We are already transforming procurement for major brands like Fairfield, Hampton Inn, and Hilton.

About the Role

We are looking for a Data Engineer/ML Engineer who is passionate about applying AI to real-world business problems.

You will play a critical role in building and improving machine learning models that optimize procurement processes, enhance data-driven decision-making, and improve operational efficiencies.

You will work closely with engineers, product managers, and business stakeholders to design, develop, and deploy AI solutions at scale.

This role is perfect for someone who is curious, eager to learn, and excited to work with cutting-edge technologies in a fast-paced, collaborative environment.

What you will do

  • Develop and implement machine learning models to optimize procurement processes, such as price predictions, anomaly detection, and recommendations.

  • Design and maintain data pipelines to preprocess and clean structured and unstructured data.

  • Work with cross-functional teams to integrate AI-driven insights into our platform.

  • Optimize model performance and contribute to ML monitoring and retraining strategies.

  • Stay up to date with the latest developments in machine learning, AI, and data science.

  • Assist in deploying models into production and improving MLOps workflows.

What you will need

  • 2+ years of experience in machine learning, data science, or related fields.

  • Proficiency in Python and experience with ML frameworks like Scikit-Learn, TensorFlow, or PyTorch.

  • Experience working with SQL and NoSQL databases (e.g., MongoDB, PostgreSQL).

  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.

  • Basic experience with Docker, cloud platforms (AWS, GCP, or Azure), or MLOps tools is a plus.

  • Strong analytical and problem-solving skills, with the ability to work with large datasets.

  • Eagerness to learn and grow both technically and professionally.

Why Lilo?

  • Opportunity to work remotely from LatAm for a fast-growing US-based startup.

  • High-impact role with opportunities to grow and take on more responsibility.

  • Stock options for the right candidate.

  • A collaborative, global, and multi-cultural environment.

Location: Santiago, Chile.

How to Apply

If you’re excited about AI-driven innovation in procurement, send your resume and any relevant work samples (ML projects, GitHub, or portfolio) to .

We look forward to hearing from you!

Job Details

  • Seniority level: Entry level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Hospitality

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Required Skill Profession

Arquitectura Y Diseño De Software


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer 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 Data Engineer in WorkFromHome, Chile, highlighting market share and opportunities for professionals in Data Engineer roles.

15711 Jobs in Chile
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13741 Jobs in Workfromhome
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Download Data Engineer Jobs Trends in Workfromhome and Chile

Are You Looking for Data Engineer/ML Engineer Job?

Great news! is currently hiring and seeking a Data Engineer/ML 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 Lilo 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 Chile laws and regulations

What Is the Average Salary Range for Data Engineer/ML Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 Data Engineer/ML Engineer?

Key qualifications for Data Engineer/ML Engineer typically include Arquitectura Y Diseño De Software 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 Data Engineer/ML Engineer?

To improve your chances of getting hired for Data Engineer/ML 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 Data Engineer/ML Engineer Job Success

Lilo interview tips for Data Engineer/ML Engineer

Here are some tips to help you prepare for and ace your Data Engineer/ML Engineer job interview:

Before the Interview:

Research: Learn about the Lilo'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 Data Engineer/ML Engineer interview at Lilo, 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 Lilo'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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