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