Berater AI Operationalization MLOps - AI & Data (w/m/d)

Are you a highly motivated and experienced professional with a passion for artificial intelligence and data? Do you thrive in fast-paced environments and have a strong understanding of MLOps? If so, we have an exciting opportunity for you to join our team at Ernst & Young/ EY as a Berater AI Operationalization MLOps - AI & Data (w/m/d). In this role, you will play a crucial role in the operationalization of AI projects, ensuring their success and impact on our clients' businesses. We are looking for someone with a strong background in MLOps, as well as excellent communication and problem-solving skills. If you are ready to take your career to the next level and make a significant impact in the world of AI and data, we want to hear from you!

1. Develop and implement MLOps strategies and frameworks to ensure the successful deployment and operation of AI projects for our clients.
2. Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to ensure seamless integration and operation of AI solutions.
3. Design, develop, and maintain MLOps pipelines for efficient and scalable deployment and monitoring of AI models.
4. Identify and troubleshoot issues in AI models and provide solutions to improve their performance and reliability.
5. Stay up-to-date with the latest trends and advancements in MLOps and AI to continuously improve our processes and offerings.
6. Lead and mentor junior team members to build their knowledge and skills in MLOps and AI.
7. Communicate and present complex technical concepts to non-technical stakeholders in a clear and concise manner.
8. Work closely with clients to understand their business needs and provide tailored MLOps solutions to meet their specific requirements.
9. Manage multiple projects simultaneously, ensuring timely delivery and high-quality results.
10. Continuously monitor and evaluate the performance of deployed AI models, identifying opportunities for improvement and optimization.
11. Contribute to the development of best practices and standards for MLOps within the organization.
12. Collaborate with external partners and vendors to leverage their expertise and tools in MLOps.
13. Proactively identify potential risks and issues in MLOps processes and provide mitigation strategies.
14. Develop and maintain relationships with clients to understand their evolving needs and provide ongoing support and guidance.
15. Participate in industry events and conferences to showcase our MLOps capabilities and network with potential clients and partners.

According to JobzMall, the average salary range for a Berater AI Operationalization MLOps - AI & Data (w/m/d) in 10117 Berlin, Germany is €60,000-€80,000 per year. This can vary depending on factors such as experience, industry, and company size.

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.