Infrastructure Engineer (part time) with ML Experience for US Restaurant Operation Startup

AI and Machine Learning, Front-End Web.

Middle

Upper-Intermediate English

Required Skills

GCP

ML

React

JavaScript

Nice to Have

Firebase

Azure Cloud Functions

Cloud Storage

Neo4j

GraphML

ARIMA

DeepAR

Prophet

Transformer

LSTMs

CSS

iOS

Swift

Python

NLP

NER

Square

JSC Microservices

LLM

Summary

- Experience in cross-platform frontend development (React, CSS, JS) for web applications
- Develop and deploy machine learning models into cloud-based environments (GCP, Firebase, Cloud Functions, Cloud Storage, Cloud Compute).
- Timezone: Europe
- Duration: 1-2 years
- Compensation: cash, equity/cash if long-term engagement
- Available to start ASAP

Are you a talented developer looking for a remote job that lets you show your skills and get decent compensation? Join Upstaff.com, a platform that connects you with hand-picked startups and scale-ups in the US and Europe.

About the company

Be part of US ML startup with high growth potential.
Work on cutting-edge AI solutions impacting the restaurant and food supply chain industry.
Gain experience in real-world ML deployment, cloud-based AI systems, and full-stack development.
Potential equity-based compensation and long-term involvement as we scale.

Job Role

Integrate models with iOS applications (Swift) and web platforms (React, JavaScript, CSS).
Develop deep learning models for natural language processing (NLP), named entity recognition (NER), and information extraction from menus.
Build demand forecasting models using time-series techniques (ARIMA, DeepAR, Prophet, Transformer/LSTMs).
Work on GraphML and graph databases (Neo4J) to enhance supply chain analytics.
Develop and deploy machine learning models into cloud-based environments (GCP, Firebase, Cloud Functions, Cloud Storage, Cloud Compute).
Design and implement web-based ML dashboards to visualize food inventory and demand trends.
Develop APIs and microservices in Python and JavaScript for seamless backend integration.
Connect the ML platform to POS systems (Square, Toast) to streamline restaurant operations.

Requirements

Experience with deep learning for NLP and time-series forecasting.
Background in graph databases and GraphML (preferred).
Must HAVE experience with GCP
Proficiency in React, Swift, and cross-platform development
Interest in food supply chain management, restaurant tech, and predictive analytics.
Comfortable working in a fast-paced startup with evolving priorities.

Tech Stack

ML/AI: Deep Learning (NER, NLP), Time-Series Forecasting (ARIMA, LSTMs, Prophet, DeepAR), Large Language Models (LLMs).
Databases: Neo4J (GraphDB), Cloud Storage Solutions.
Cloud: Google Cloud Platform (GCP), Firebase, Cloud Functions, Cloud Compute.
Frontend: React (Web), Swift (iOS).
Backend: Python, JavaScript (Microservices).

How to Apply for Infrastructure Engineer (part time) with ML Experience for US Restaurant Operation Startup

Be ready for the next steps:

Create your profile on our website (import from LinkedIn)
20-30-minute screening call
Technical interview feedback
Project Selection (we are looking for the best project for you).

Who can apply:

We work with developers across Europe, LATAM, the U.S. (W-9 form owners), Canada, Asia, Oceania, and the UK.
We do not provide visa assistance, and this cooperation model does not include direct-hire benefits.
We cannot accept applicants from Russia, Belarus, Iran, or North Korea.

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