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The role involves collaborating with Data Science teams to implement and manage ML models, designing GenAI solutions, and automating ML operations, while establishing best practices in ML lifecycle management.

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.

Manage project execution by coordinating resources, developing project plans, ensuring timely delivery, and maintaining stakeholder communication while mitigating risks.

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.

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.