GenAI ML/MLOps Engineering Lead (Remote or Hybrid)

Are you passionate about utilizing cutting-edge technology and AI to drive innovation and growth? Are you a natural leader with a strong technical background in machine learning and MLOps?

If so, we have an exciting opportunity for you as a GenAI ML/MLOps Engineering Lead at S&P Global.As the GenAI ML/MLOps Engineering Lead, you will play a crucial role in developing and implementing AI and MLOps strategies across our organization.

You will lead a team of talented engineers and collaborate with cross-functional teams to build and deploy machine learning models and infrastructure at scale.

This is a remote or hybrid position, allowing for flexibility and work-life balance.To excel in this role, you should have a deep understanding of machine learning algorithms, frameworks, and tools, along with experience in deploying and managing production-grade ML pipelines.

Additionally, you must have strong leadership skills and the ability to communicate technical concepts to non-technical stakeholders.If you are ready to take on a challenging and rewarding role that will make a significant impact on our company's success, we encourage you to apply for the GenAI ML/MLOps Engineering Lead position at S&P Global.\n\nDevelop and implement AI and MLOps strategies to drive innovation and growth within the organization.

Lead a team of engineers to build and deploy machine learning models and infrastructure at scale. Collaborate with cross-functional teams to ensure successful integration of AI and MLOps solutions.

Stay up-to-date on the latest advancements in machine learning and MLOps technologies and identify opportunities for their implementation. Ensure the successful deployment and management of production-grade ML pipelines.

Provide technical guidance and mentorship to team members to enhance their skills and knowledge. Effectively communicate technical concepts and solutions to non-technical stakeholders.

Work closely with business leaders to understand their needs and identify opportunities for the application of AI and MLOps. Drive continuous improvement and optimization of existing AI and MLOps processes.

Develop and maintain documentation for all AI and MLOps projects and processes. Stay updated on industry best practices and trends related to AI and MLOps. Build strong relationships with external partners and vendors for collaboration and knowledge sharing.

Act as a subject matter expert for machine learning and MLOps within the organization. Ensure compliance with data privacy and security regulations. Foster a positive and collaborative work environment within the team. S&P Global is an Equal Opportunity Employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.