Machine Learning Data Engineer, Associate

Cultivo
Job Overview

logoCultivo 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 modelsImplement data collection and feature engineering processes in Google Cloud Platform (GCP)Collaborating with data scientists and engineers to implement and deploy machine learning modelsManaging and optimizing data storage and retrieval systems (BigQuery, Dataflow, Vertex AI)Performing data preprocessing, feature engineering, and analysisMonitoring and optimizing data pipelines for performance and reliabilityEnsuring data quality and implementing data governance best practicesStay 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 roleStrong programming skills in PythonExperience with SQL and Big Data technologies such as GCP Bigquery, Streaming services, etcKnowledge of machine learning concepts and algorithmsExperience with data preprocessing, feature engineering, and analysisStrong problem-solving and analytical skillsExperience with data visualization toolsComfort working in a fully remote, distributed, global team

Nice to have …

Bachelor’s degree or above in Computer Science, Data Science, or a related fieldExperience with cloud platforms such as GCPExperience with geospatial dataKnowledge of deep learning frameworks such as TensorFlow or PyTorchInterest in environmental science and sustainability

Benefits

The opportunity to grow as an Engineer and make a real impact around the worldCompetitive compensation package, including equity options and annual bonusAccess to health insurance and retirement planRemote-first setup, with flexible, cadenced in-person co-working days alongside hub-based teammatesFlexible work hours with emphasis on resultsInternational office locations6 months paid parental leaveFlexible paid vacationOpportunities for personal and professional growth in an innovative and supportive environment

Job Detail
Shortlist Never pay anyone for job application test or interview.

Related Jobs (4707)

Safety Information

  • Safety Tips For Candidate

    DYOR.

  • Safety Tips For Candidate

    Always check the employer\'s offer.