Feelit Technologies

Feelit is an Industry 4.0 company specializing in predictive maintenance through unique nanomaterials sensing technology. Their patented solution combines printed nanotechnology sticker sensors with wireless edge devices and proprietary analytics to detect parameter changes and predict failures in industrial manufacturing and process systems. This non-intrusive, plug-and-play technology enables real-time alerts, increasing uptime, reducing costs, and mitigating safety and environmental risks. Feelit's solutions are scalable across diverse industrial equipment and designed for harsh environments, serving major clients like Merck, Henkel, and Continental, positioning them as a key player in sustainable smart manufacturing.

AIIndustry 4.0IoTMachine LearningNanotechnologyPredictive MaintenanceSaaSSmart Manufacturingfeelit.tech

Feelit Technologies

AIIndustry 4.0IoTMachine LearningNanotechnologyPredictive MaintenanceSaaSSmart Manufacturingfeelit.tech

HQHaifa

Team Size31

Open Jobs1

Total Funding$15M

Latest Fundraise6 months ago

Join the Team

Data Scientist | Yokneam, Israel

On-SiteYokneam Ilit, North District

On-Site • Yokneam Ilit, North District

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Frontend Developer

InternshipSan Francisco, US

Internship • San Francisco, US

Machine Learning Engineer

Full-timeTel Aviv

Full-time • Tel Aviv

Product Designer

Part-timeManchester, GB

Part-time • Manchester, GB

Software Engineer

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

Product Designer

ContractHaifa

Contract • Haifa

Machine Learning Engineer

Part-timeManchester, GB

Part-time • Manchester, GB

Feelit is an Industry 4.0 company operating in the field of Predictive Maintenance , playing a key role in enabling sustainable and smart manufacturing. Our technology provides real-time alerts for upcoming failures, prevents unplanned downtime, and ensures optimal system availability through advanced data and AI-driven insights.

We are looking for a passionate and highly motivated Data Scientist who truly lives and breathes data, to join our Data Science & Analytics team and be part of a fast-growing and innovative environment.

In this role, you will research, design, implement, and evaluate advanced machine learning algorithms, working with large-scale pipelines and production-grade systems.

Our tech stack includes:

Python and its scientific ecosystem, Airflow, MLflow, InfluxDB, Redis, TimescaleDB, MySQL, and a broad Azure services stack.

Responsibilities

Contribute to the development of cutting-edge predictive maintenance models using a variety of ML approaches
Design and develop large-scale machine learning models
Take full ownership of solutions, end-to-end — from EDA through model deployment to production
Work closely with cross-functional teams including Product, Process, and R&D

Requirements

M.Sc. in Computer Science, Computer Engineering, Statistics, or equivalent
3+ years of experience as a Data Scientist, developing in Python (and/or Spark) and working with time-series data
Proven experience in Time Series and Signal Processing modeling
Strong background in supervised and unsupervised learning
Hands-on experience implementing ML algorithms and deploying production-grade applications
Strong engineering mindset, with responsibility for both scientific and engineering aspects
Experience working with Git (Bitbucket or GitHub)

Bonus Points

Experience building cross-asset or system-level ML models
Hands-on experience with Airflow and MLflow
Experience with cloud computing (preferably Azure)
SQL knowledge
Familiarity with databases such as MySQL, Redis, and TimescaleDB (PostgreSQL)