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Cultivo Land is a pioneering fintech company dedicated to driving investment in regenerative land projects. Our mission is to harness the power of nature to create a sustainable and resilient future. We're a diverse, collaborative, and inclusive team that values innovation and creativity.
Job SummaryWe're seeking a highly skilled Machine Learning Data Engineer to join our team. As a key member of our data engineering team, you will play a crucial role in designing, building, and maintaining scalable and efficient data pipelines and infrastructure to support our machine learning projects.
Key Responsibilities- Data Pipeline Development: Design and implement scalable and efficient data pipelines and infrastructure for machine learning models.
- Data Collection and Feature Engineering: Implement data collection and feature engineering processes in Google Cloud Platform (GCP).
- Collaboration with Data Scientists: Collaborate with data scientists and engineers to implement and deploy machine learning models.
- Data Storage and Retrieval: Manage and optimize data storage and retrieval systems (BigQuery, Dataflow, Vertex AI).
- Data Preprocessing and Analysis: Perform data preprocessing, feature engineering, and analysis.
- Pipeline Monitoring and Optimization: Monitor and optimize data pipelines for performance and reliability.
- Data Quality and Governance: Ensure data quality and implement data governance best practices.
To be successful in this role, you will need:
- 2+ years of experience as a data engineer, machine learning engineer, or related role.
- Strong programming skills in Python.
- Experience with SQL and Big Data technologies such as GCP Bigquery, Streaming services, etc.
- Knowledge of machine learning concepts and algorithms.
- Experience with data preprocessing, feature engineering, and analysis.
- Strong problem-solving and analytical skills.
- Experience with data visualization tools.
While not required, the following skills and experience would be beneficial:
- Bachelor's degree or above in Computer Science, Data Science, or a related field.
- Experience with cloud platforms such as GCP.
- Experience with geospatial data.
- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
- Interest in environmental science and sustainability.
We offer a competitive compensation package, including equity options and annual bonus. You'll also have access to health insurance and a retirement plan. Our remote-first setup allows for flexible work hours with an emphasis on results. We're committed to your growth and development, offering opportunities for personal and professional growth in an innovative and supportive environment.
