Applied AI Engineer with 3+ years of experience in core machine learning, model training, fine-tuning, and production deployment, building scalable AI systems and LLM-powered applications. Company Details Conqr AI is an early-stage startup building AI solutions
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves
Role Summary KDCI Outsourcing is looking for an AI Developer to design, build, and deploy AI-powered features and applications. Youll work with machine learning models and APIs to create intelligent solutions that improve products and workflows.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the worlds largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU.
Hello World! Jesteśmy The Codest – międzynarodową firmą technologiczną z siedzibą w Londynie oraz hubami technologicznymi w Polsce. Od lat specjalizujemy się w tworzeniu aplikacji webowych, rozwiązaniach chmurowych, utrzymaniu i rozwoju systemów oraz zapewnianiu jakości oprogramowania.
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side