AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Data Integration Lead
AI-powered software for manufacturing that predicts downtime, improves OEE, and provides real-time factory insights.
Experience Requirements:
Factory life and client hands
Teamwork
Structured Data understanding
Basic SQL understanding
Initiative to locate data sources
Other Requirements:
Work with 3rd parties
Data gathering / organizing / ingestion
Data gathering automation
Good Analytical Skills
Data tools
ChatGPT prompting
Technical Support
Data Quality Management
Use of Enterprise Tools
Responsibilities:
Understand client operations
Client stakeholder mapping and management
Product deployment planning
Structured Data sourcing, ingestion, validation, testing for our RealTime Factory OEE product
Structured Data sourcing for Allie ML
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Factory Automation Engineer
AI-powered software for manufacturing that predicts downtime, improves OEE, and provides real-time factory insights.
Experience Requirements:
Factory life and client hands
Teamwork
Structured Data understanding
Initiative to locate data sources
Work with 3rd parties
Other Requirements:
Data gathering / organizing / ingestion
Data gathering automation
Good Analytical Skills
Data tools
ChatGPT prompting
Basic SQL understanding
Technical Support
Data Quality Management
Use of Enterprise Tools
Responsibilities:
Understand client workflows
Client stakeholder mapping and management
Product deployment planning
Data sourcing
Data loading
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Product Manager GenAI & ML
AI-powered software for manufacturing that predicts downtime, improves OEE, and provides real-time factory insights.
Education Requirements:
Ideal candidates will have completed one or several machine learning courses on Coursera, such as Stanford's machine learning course, or the Deeplearning.ai specialization.
Ideal candidates will have completed one or several generative AI courses on coursera, such as generative AI for everyone
Other Requirements:
You are expected to understand and know the broad steps to develop and improve traditional machine learning - specifically regression and logistic regression.
Overall you're expected to understand what generative AI is, and simply know its key capabilities. You're not expected to be a technical expert, simply to know what these things are and what to look for.
Traditional machine learning understanding
Generative AI understanding
Responsibilities:
Understand latent needs and pain points
Define predictions for ML
Define Generative AI use cases
Manage Road map
Writing user stories
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Executive Assistant
ClimateAi offers AI-driven climate forecasting and resilience solutions for businesses, particularly in the food and agriculture sectors.
Benefits:
Competitive salary and equity
Medical, dental, vision benefits
Learning budget per year
Unlimited PTO policy with minimum time off requirements
Flexible working hours on many teams
Experience Requirements:
Strong written and verbal communications skills
Excellent time management and organizational skills
Working knowledge of basic programs like Google Mail, Calendar, Docs, Sheets, Slides
Other Requirements:
Advanced English Proficiency
Ability to be a self-starter
Ability to stretch across various tasks
Responsibilities:
Managing calendars and schedules
Supporting scheduling and communication with external parties
Managing travel arrangements
Supporting HR operations duties
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Sales Development Representative
ClimateAi offers AI-driven climate forecasting and resilience solutions for businesses, particularly in the food and agriculture sectors.
Benefits:
Competitive salary and equity
Medical, dental, vision benefits
Learning budget per year
Unlimited PTO policy with minimum time off requirements
Flexible working hours on many teams
Experience Requirements:
1-2 years of customer facing experience
Ability to develop strong relationships
Other Requirements:
Passion for technology and software sales
Advanced English proficiency
Collaborative and coachable mindset
Responsibilities:
Building pipeline by setting meetings with clients
Researching and building accounts
Performing prospect analysis
Applying effective communication skills
Working in a fast-paced environment
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