CLARITY
Enterprise • SaaS • B2B
CLARITY is a company that provides a range of technology-driven solutions aimed at optimizing business operations and enhancing efficiency across various industries. With expertise in SAP software integration, CLARITY offers services such as Quote-to-Cash, project management, technical and custom development, quality assurance, and strategic consultancy. Their services aim to transform digital infrastructures and drive business growth through the implementation of advanced SAP solutions and AI-driven technologies. CLARITY is dedicated to helping industries navigate challenges with innovative technology, ensuring businesses can adapt to changing technological landscapes and market demands.
51 - 200 employees
🏢 Enterprise
☁️ SaaS
🤝 B2B
Senior ML Engineer - AI Product
Job not on LinkedIn
May 25
CLARITY
Enterprise • SaaS • B2B
CLARITY is a company that provides a range of technology-driven solutions aimed at optimizing business operations and enhancing efficiency across various industries. With expertise in SAP software integration, CLARITY offers services such as Quote-to-Cash, project management, technical and custom development, quality assurance, and strategic consultancy. Their services aim to transform digital infrastructures and drive business growth through the implementation of advanced SAP solutions and AI-driven technologies. CLARITY is dedicated to helping industries navigate challenges with innovative technology, ensuring businesses can adapt to changing technological landscapes and market demands.
51 - 200 employees
🏢 Enterprise
☁️ SaaS
🤝 B2B
📋 Description
• Lead AI discovery workshops with enterprise clients, identifying opportunities for ML applications. • Design and architect scalable ML solutions that align with business objectives. • Evaluate technical environments and assess data readiness for AI adoption. • Develop proof of concepts and prototypes for AI/ML models. • Build, optimize, and deploy ML models using best practices in MLOps. • Collaborate with cross-functional teams to ensure seamless AI integration into enterprise workflows. • Provide technical expertise and strategic guidance in client-facing situations.
🎯 Requirements
• 5+ years of experience developing and implementing ML solutions in enterprise environments. • Strong expertise in Computer Vision and/or Natural Language Processing, Time Series Analysis & Forecasting, and MLOps & Model Deployment. • Hands-on experience with data processing pipelines and cloud platforms (Azure/AWS). • Strong Python programming skills and proficiency in Deep Learning frameworks. • Understanding of data privacy, security regulations, and enterprise compliance requirements. • Excellent communication and presentation skills in English. • Ability to translate complex ML concepts into business-friendly insights. • Strong problem-solving and analytical thinking skills. • Passion for learning and staying up-to-date with AI trends and emerging technologies. • NICE TO HAVE Understanding of enterprise architecture and large-scale AI solution design.
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