Top Tech Jobs & Startup Jobs

Senior supply chain consultant to support presales, RFPs, requirements analysis, solution design, and delivery. Lead discovery workshops, fit-gap analysis, process mapping, and stakeholder management to define scalable, analytics- and AI-enabled planning and execution solutions across ERP and planning platforms.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

The AI Ops Technical Leader drives the transformation of operations support through hands-on technical delivery and team leadership, focusing on AI and data solutions to improve various operational metrics.

You will design, develop, and maintain server-side logic for web apps, ensuring efficient APIs, database management, and security best practices. Collaboration with front-end teams and conducting thorough testing are key responsibilities.

The role involves leading the design and implementation of smart factory architectures, integrating OT and cloud services while ensuring cybersecurity and data flow validation across multiple sites.

Lead supply chain analytics practice area for planning, forecasting, inventory optimization, and procurement. Advise clients, support pre-sales and solution design, guide delivery teams, develop reusable assets and dashboards, mentor consultants, and ensure solutions drive measurable business value and adoption.

Lead development of supply chain analytics and integrated business planning solutions (forecasting, inventory optimization, procurement). Serve as subject-matter expert for client advisory, pre-sales, solution design and delivery. Manage and mentor consultants, build reusable assets, and ensure solutions drive measurable business outcomes and adoption.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

Design and develop scalable backend applications, optimize performance, ensure security, mentor junior developers, and maintain DevOps practices.