We're looking for a Head of AI to own everything AI and ML at Sensos – from the agentic systems that power autonomous supply chain execution to the data science and modeling that turn our real-world data into an unfair advantage.
This is a founding leadership role. You'll be 100% hands-on from day one – researching, prototyping, and shipping models and AI capabilities directly into the platform – and over time you'll build and lead the data organization (data science, ML, and analytics). Put simply: you're the person who brings the "smart" into the platform.
We capture billions of real-world signals from IoT smart labels moving through global supply chains. That data is the raw material; your job is to turn it into prediction, detection, and trustworthy autonomous decisions.
What You'll Do:
Work with a wide variety of datasets – IoT sensor, GIS, time-series, tabular, and textual
Solve a range of business problems: time-series prediction, anomaly detection, scoring, and agentic flows
Design real-time inference pipelines
Develop and deploy ML models and LLM-based agents that serve tens of enterprise clients
Conduct exploratory data analysis, feature development, and correlation analysis
Take work all the way from prototype to production – you own it end-to-end
Partner closely with Product and Engineering to embed intelligence natively into the platform and shape the roadmap
Stand up the infrastructure: evaluation pipelines, model promotion, MLOps, and artifact management
Build, hire, and lead the data function (DS, ML, and analytics) as we scale
Lead patent registrations, technical presentations, and stakeholder discussions
This is a founding leadership role. You'll be 100% hands-on from day one – researching, prototyping, and shipping models and AI capabilities directly into the platform – and over time you'll build and lead the data organization (data science, ML, and analytics). Put simply: you're the person who brings the "smart" into the platform.
We capture billions of real-world signals from IoT smart labels moving through global supply chains. That data is the raw material; your job is to turn it into prediction, detection, and trustworthy autonomous decisions.
What You'll Do:
Work with a wide variety of datasets – IoT sensor, GIS, time-series, tabular, and textual
Solve a range of business problems: time-series prediction, anomaly detection, scoring, and agentic flows
Design real-time inference pipelines
Develop and deploy ML models and LLM-based agents that serve tens of enterprise clients
Conduct exploratory data analysis, feature development, and correlation analysis
Take work all the way from prototype to production – you own it end-to-end
Partner closely with Product and Engineering to embed intelligence natively into the platform and shape the roadmap
Stand up the infrastructure: evaluation pipelines, model promotion, MLOps, and artifact management
Build, hire, and lead the data function (DS, ML, and analytics) as we scale
Lead patent registrations, technical presentations, and stakeholder discussions
Requirements:
MSc / PhD in Computer Science, ML, Statistics, EE, Mathematics, or a related quantitative field
5+ years in data science / machine learning (required) – including deep neural networks, gradient-boosted trees and classical ML, NLP, and time-series analysis
2+ years hands-on with LLMs / SLMs in applied or production settings (required)
Strong SQL skills, with a track record of data analysis and feature extraction
Production-quality coding, testing, and CI/CD – and fluency coding with an AI agent (Claude Code / Cursor / Codex)
Proven people-leadership: you've managed data scientists / ML engineers and are ready to build and lead the data team as we scale
Fluency working with large, noisy, real-world data
A self-starter who thrives with ambiguity and moves fast in a startup environment
A player-coach mindset: happy to go deep hands-on today and grow a team tomorrow
Preferred / Nice to Have:
Domain experience in supply chain, logistics, or hardware-adjacent software
Registered patents or scientific publication
MSc / PhD in Computer Science, ML, Statistics, EE, Mathematics, or a related quantitative field
5+ years in data science / machine learning (required) – including deep neural networks, gradient-boosted trees and classical ML, NLP, and time-series analysis
2+ years hands-on with LLMs / SLMs in applied or production settings (required)
Strong SQL skills, with a track record of data analysis and feature extraction
Production-quality coding, testing, and CI/CD – and fluency coding with an AI agent (Claude Code / Cursor / Codex)
Proven people-leadership: you've managed data scientists / ML engineers and are ready to build and lead the data team as we scale
Fluency working with large, noisy, real-world data
A self-starter who thrives with ambiguity and moves fast in a startup environment
A player-coach mindset: happy to go deep hands-on today and grow a team tomorrow
Preferred / Nice to Have:
Domain experience in supply chain, logistics, or hardware-adjacent software
Registered patents or scientific publication
This position is open to all candidates.
