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.

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

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 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.

The role focuses on designing and implementing scalable analytics solutions for Life Sciences, supporting client engagements, and driving analytics capabilities through collaboration and innovative practices.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

Develop interactive Power BI reports and dashboards, create data models with DAX, conduct data transformation, gather requirements, and ensure performance and governance.

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

The Solution Architect will lead the delivery of data integration and analytics solutions, manage critical technological decisions, and support application development teams, while also engaging with customers and defining development standards.

The OT Manufacturing Consultant will operationalize industrial data flows, configure connectivity, build pipelines, deploy edge apps, and support commissioning/testing in manufacturing environments.

The Employee Experience Manager designs and maintains a comprehensive employee journey, monitors engagement, improves onboarding, and collaborates with senior leadership to foster a positive workplace culture.

The Solutions Architect designs and implements data systems, leads development teams, optimizes architecture, and communicates with stakeholders while evaluating emerging technologies.