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

Develop and maintain server-side logic for web applications, manage databases, optimize performance, and ensure security. Collaborate with front-end teams and conduct testing.

Lead the design and development of GCP data ecosystems, mentor teams, optimize data storage solutions, and troubleshoot complex problems while engaging with clients.

Manage end-to-end sales for data and analytics services, cultivate partnership relations with tech vendors, and collaborate cross-functionally to tailor solutions.

Provide expert L3 support for complex incidents, analyze issues, develop solutions, deploy bug fixes, and mentor team members in a collaborative environment.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

The role involves server-side development, database management, API integration, security implementation, code optimization, and collaboration with cross-functional teams.

The role involves leading AI solutions development, mentoring teams, making architectural decisions, optimizing AI models, and ensuring best practices in AI-driven development.

Lead the data engineering team, providing technical expertise, mentorship, and project guidance while optimizing data solutions and ensuring compliance with industry standards.

As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

Lead a team of designers to create and manage brand strategies, ensuring high-quality design that meets client needs while fostering a diverse and inclusive work environment.

Lead the data engineering team, provide mentorship, oversee project execution, ensure compliance with security standards, and assess new technologies.

The Fullstack Developer will design back-end architectures, develop APIs, manage databases, optimize server code, conduct security audits, and troubleshoot performance issues.

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.

Design and implement BI solutions using SAP technologies, manage data processing, and ensure best practices. Provide consultancy and conduct training for users.

Provide L3 expert support for complex incidents in Power BI and Azure environments, analyze issues, develop solutions, and mentor teammates.

The role involves building scalable ML/AI applications, implementing models in production, and defining best practices in ML operations. The engineer will lead projects, support juniors, and engage with teams.

Develop and enhance BI solutions using SAP technologies, ensuring best practices in performance, data integration, and training users on SAP Data & Analytics.

The DevOps Engineer will monitor infrastructure using tools like Grafana and Prometheus, implement automated systems, manage CI pipelines, and design cloud infrastructure.