Machine Learning Engineer - Buenos Aires, Argentina - Parse AI

Descripción

Title research and lease document analysis is a critical requirement for acquiring land rights but remains a painfully slow and outdated manual process.

Parse AI provides a cloud-based platform that enables users to expedite title research necessary for completing a wide variety of real property transactions.

Customers in the energy and real estate industries gain a comprehensive perspective on leasehold ownership and obligations and can confirm real property ownership at a fraction of the time and cost.

The engineering team will grow the Parse AI platform to provide scalable solutions for pay-as-you-go and subscriptions customers looking to obtain title research for property transactions in the energy and real estate industries.

Parse AI is recruiting for a Machine Learning Engineer position to help build and integrate new machine learning models into our existing platform.

You will work with a team of ML engineers under the company CTO in collaboration with Parse AI's co-founders to further develop our internal machine learning capabilities.

You will have the ability to work on real-world datasets from day one and be responsible for building our machine learning models.

• Collaborate on machine learning model development, employing client feedback to inform decision making and new model development.
• Assist with data architecture and management.
• Participate in weekly allhands meetings to provide the team with a clear understanding of technical goals, objectives, and progress.

• Assist with the development of essential features, server interactions, scripts, deployment stage maps, and SSHs to build solutions that solve initial client problems.
• Help manage initial DevOps and cybersecurity for the company.

• Bachelor's Degree (preferred)
• 3 years+ experience required in Python for ML/NLP
• Experience working with Pytorch
• Knowledge of database architecture and setup

• Advanced graduate degree in a quantitative field
• 3 years+ experience with , React, and Typescript
• Cloud solutions expertise (3+ years experience in AWS or GCP)
• Understanding of frontend architecture
• Solid background in earlystage product development strategy
• Tensorflow experience
• Team management experience
• Title research experience
• Lease analysis experience
• Division order analysis experience

• The Machine Learning Engineer will initially be contracted on a monthly basis at a competitive rate commensurate with their experience and capabilities with the goal of a fulltime contract or employment agreement.

• Bachelor's (preferred)

• Python: 3 years (preferred)
• SQL: 3 years (preferred)
• Natural language processing: 1 year (preferred)
• Machine learning: 2 years (preferred)

• English (preferred)