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Exciting Opportunity: Senior Data & ML Engineer at Kaso
Senior LevelEngineeringWorldwide
$80K - $120K
USD per year
Job Description
🚀 Exciting Opportunity: Senior Data & ML Engineer at Kaso
$90K - $140K•Dubai, Dubai, AE / Remote (US) Job type Full-time Role Engineering, Data science Experience 6+ years Visa US citizen/visa only Skills Python, Machine Learning, Data Modeling
About the role
🔍 What we're looking for:
- Strong expertise in Data Engineering, Data Modeling, and AI/ML Engineering
- Proven track record of building scalable data pipelines and ML models
- Extensive experience working with Generative AI and Large Language Models (LLMs)
- Experience with big data technologies and cloud platforms
- Ability to work independently and drive projects from conception to completion
- Excellent problem-solving skills and attention to detail
💼 What you'll do:
- Design and implement data architectures to support our new Data Platform and Products.
- Develop ML models for sales prediction, lead generation, and product optimization
- Create and integrate Gen. AI solutions leveraging LLMs into our product ecosystem
- Create data visualizations and dashboards for actionable insights
- Collaborate with cross-functional teams to integrate ML solutions into our platform
🌟 Ideal candidate:
- 5+ years of experience in data engineering and machine learning
- Proficiency in Python, SQL, and cloud technologies (AWS/GCP/Azure)
- Familiarity with modern AI & ML frameworks and tools
- Experience in the Food Tech industry is a plus
📍 Location:
Dubai-based or remote (compatible time zone)
💪 Why join us:
- Work on cutting-edge technology in a fast-growing industry
- Opportunity to make a significant impact on a product used by thousands of businesses
- Collaborative and innovative work environment
- Competitive salary and benefits package
If you're a smart, independent professional who gets things done and wants to be at the forefront of food tech innovation, we want to hear from you!
How to Apply
About Kaso
Kaso promotes sustainability by reducing waste through technology, smarter supply chain management, and genuine support. It aims to disrupt the food supply chain to bring efficiency, transparency, and sustainability to the table by addressing outdated and flawed processes causing food waste.
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