Machine Learning Engineer for Commercial Real Estate
hace 6 días
Lilo is transforming the way Commercial Real Estate businesses procure goods and services by leveraging Artificial Intelligence. Our AI-powered platform automates and optimizes procurement processes, reducing costs and improving efficiency.
About the Role
We are seeking a talented Machine Learning/Data Science Engineer to join our team. As a key member of our team, you will design, develop, and deploy AI solutions that drive business value and improve operational efficiencies.
You will collaborate with cross-functional teams to integrate AI-driven insights into our platform, ensuring seamless communication and execution. This role is ideal for someone who is passionate about AI, curious, and eager to learn in a dynamic, fast-paced environment.
- Collaborate with cross-functional teams to design, develop, and deploy AI solutions.
- Design and implement machine learning models to optimize procurement processes.
- Develop and maintain data pipelines to preprocess and clean structured and unstructured data.
- 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.
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