Data Science and AI Innovator

hace 24 horas


Santiago, Metropolitana, Chile Lilo A tiempo completo

Lilo is changing the game for commercial real estate businesses by leveraging AI to transform procurement processes. Our platform enables our clients to automate and optimize procurement workflows, enhancing their overall efficiency and effectiveness.

About the Position

We are seeking a talented Machine Learning/Data Science Engineer who is passionate about applying AI to real-world business challenges. You will play a critical role in building and improving machine learning models that optimize procurement processes, drive data-driven decision-making, and improve operational efficiencies.

You will work closely with cross-functional teams to design, develop, and deploy AI solutions at scale. This role is ideal for someone who is eager to learn, curious, and excited to work with cutting-edge technologies in a fast-paced collaborative environment.

Key Responsibilities:
  • 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.
Requirements:
  • 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.


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