Role Overview We are looking for a Lead AI Engineer / AI Architect to design, build, and scale production-grade AI systems. This role combines hands-on AI engineering with system architecture leadership. The candidate will be responsible for
Job Description: Architect – AWS ML Solution Hands-On Role Details Experience: 10–14 years Primary Tech/Domain: AWS Must have strong platform engineering skills. Do not apply if you are not hands-on. (80% of the time will go into
Pull Logic is transforming the supply chain with a revolutionary availability-oriented paradigm that connects customer demand, inventory, supply, and operational decisions. Backed by cutting-edge research from Georgia Techs School of Industrial and Systems Engineering, our AI-driven
Company Description School Serv (India) Solutions Private Limited is India’s leading K–12 school lifecycle services company, supporting school promoters from concept to full-scale operations. The organization conducts market studies, assesses project feasibility, plans new school initiatives,
Salesforce Technical Lead Location: India, Remote Experience: 7-8 Years Shift: Overlap with US Business Hours (as required) Algoworks About the company Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across
We are seeking a results-driven Client Partner to drive business growth, manage strategic client relationships, and expand our Microsoft and AI services portfolio across domestic / US markets. The ideal candidate will have a strong background
Were looking for an exceptional CTO / Founding Technology Leader to lead technology vision, AI architecture, product engineering, and technology strategy for SkillsCapitals next major opportunity: a new AI-native Career Intelligence platform for technology professionals globally
We are looking for an experienced Data Scientist to build, evaluate, and productionize predictive and intelligent models across ML, deep learning, NLP, and computer vision. The role focuses on developing production-ready models, maintaining statistical rigor, and translating