Job description

Cultivo Land is seeking a talented Machine Learning Data Engineer to join our team. As a Machine Learning Data Engineer at Cultivo, you will play a crucial role in developing and maintaining our data pipeline and infrastructure to support our machine learning projects. You will work closely with environmental scientists and software engineers to ensure efficient data collection, storage, and processing. This role offers a unique opportunity to contribute to impactful projects that are focused on regenerating ecosystems and addressing environmental challenges.

About Cultivo Land

Cultivo Land is a nature-focused fintech company with a mission to drive investment in regenerative land projects. Our work encompasses climate change, biodiversity, and land degradation. At Cultivo, we believe that by investing in nature, we can create a sustainable and resilient future. We have a diverse, collaborative, and inclusive work culture, and we offer flexible working arrangements to our team members.

Responsibilities

Designing, building, and maintaining scalable and efficient data pipelines and infrastructure for machine learning models
Implement data collection and feature engineering processes in Google Cloud Platform (GCP)
Collaborating with data scientists and engineers to implement and deploy machine learning models
Managing and optimizing data storage and retrieval systems (BigQuery, Dataflow, Vertex AI)
Performing data preprocessing, feature engineering, and analysis
Monitoring and optimizing data pipelines for performance and reliability
Ensuring data quality and implementing data governance best practices
Stay updated with the latest trends and technologies in machine learning and data engineering

Requirements

Candidates should have …

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
Comfort working in a fully remote, distributed, global team

Nice to have …

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

Benefits

The opportunity to grow as an Engineer and make a real impact around the world
Competitive compensation package, including equity options and annual bonus
Access to health insurance and retirement plan
Remote-first setup, with flexible, cadenced in-person co-working days alongside hub-based teammates
Flexible work hours with emphasis on results
International office locations
6 months paid parental leave
Flexible paid vacation
Opportunities for personal and professional growth in an innovative and supportive environment

Required profile