Provide expert-level service support as L3 specialist for complex incidents, develop solutions, and mentor teammates on Power Platform tools and technologies.

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.

Lead and execute partner marketing strategies with technology companies to enhance demand generation, influence revenue, and manage marketing campaigns, while mentoring a high-performing team.

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 role involves designing and implementing GenAI and MLOps solutions, developing production-ready ML code, and collaborating with Data Science teams to integrate AI models. It demands hands-on experience in data processing, cloud architectures, and AI concepts.

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.

Develop and execute test plans and cases, automate testing processes, collaborate with stakeholders, conduct performance testing, and improve QA methodologies.

Join a remote team as a Lead Data Scientist focusing on building Generative AI applications. Responsibilities include developing applications, implementing pipelines, and performing model tuning.

Lead projects on Generative AI systems, design solutions, mentor teams, build applications, and optimize AI-driven developments in data science and engineering.

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

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

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.

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.

Design and oversee data architecture, ensure compliance, create data processing frameworks, and lead data engineering teams. Collaborate with stakeholders to meet business needs.Data governance and performance optimization included.

The ServiceNow Architect will define platform architecture, design scalable solutions, partner with enterprise architects, and enforce governance frameworks, requiring over five years of relevant experience.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.