Machine Learning Data Engineer
hace 4 semanas
Cultivo Land is a pioneering fintech company dedicated to driving investment in regenerative land projects. Our mission is to create a sustainable and resilient future by harnessing the power of nature. We believe that by investing in nature, we can address climate change, biodiversity loss, and land degradation.
Key Responsibilities- Design and develop scalable and efficient data pipelines and infrastructure for machine learning models
- Implement data collection and feature engineering processes in Google Cloud Platform (GCP)
- Collaborate with data scientists and engineers to implement and deploy machine learning models
- Manage and optimize data storage and retrieval systems (BigQuery, Dataflow, Vertex AI)
- Perform data preprocessing, feature engineering, and analysis
- Monitor and optimize data pipelines for performance and reliability
- Ensure data quality and implement data governance best practices
- Stay updated with the latest trends and technologies in machine learning and data engineering
- 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
- 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
$30,000 - $130,000 per year
The specific salary offered will be determined based on factors such as a candidate's individual experience, qualifications, and skills.
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