As a Team Coordinator, you will mentor consultants, create career development plans, provide performance feedback, and drive team engagement while managing operations.

Manage end-to-end project delivery, ensuring alignment with stakeholders, applying Agile/Scrum methods, and maintaining quality and budget control. Facilitate communication and governance throughout the project phases to ensure successful outcomes.

Provide expert service support, identify and develop solutions for complex issues, ensure business continuity, and mentor teammates.

Serve as a Level 3 support specialist resolving complex incidents, developing solutions and tools to maintain business continuity, deploying bug fixes, implementing visualization solutions, performing monitoring/automation/change deployments, documenting work, proposing corrective actions, and mentoring teammates while contributing to knowledge sharing and service improvements.

Provide governance, administration and 24/5 user support for Power Platform in the MX region. Create CI/CD pipelines, resolve user issues, and participate in technical initiatives and deployments.

Lead and mentor a data engineering team to design, build, and optimize scalable cloud data solutions on Azure. Oversee architecture, code quality, CI/CD, data governance, security, and project delivery while collaborating with stakeholders and resolving complex technical issues.

Design, build, and maintain cloud-native backend services on Google Cloud using Python, FastAPI, SQLAlchemy, and PostgreSQL. Containerize with Docker, implement CI/CD via GitHub Actions, collaborate in GitHub, and optionally contribute to frontend work with TypeScript/Next.js.

As a Team Coordinator, you'll mentor consultants, oversee their career development, champion talent promotions, manage project support, and advocate for change within the team.

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.

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.

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.

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

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.

Oversee incident management by coordinating teams, ensuring compliance with SLAs, improving processes, and managing communications regarding major incidents.

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.