GenAI ML/MLOps Engineering Lead (Remote or Hybrid)

Are you a passionate and experienced leader in the field of machine learning and MLOps? Do you thrive in a fast-paced and dynamic environment? Are you looking for an opportunity to make a real impact in the world of AI-driven technologies? If so, we want to hear from you!At S&P Global, we are seeking a highly skilled and motivated GenAI ML/MLOps Engineering Lead to join our team. In this role, you will be responsible for leading and managing a team of talented engineers to develop and deploy cutting-edge ML solutions and infrastructure. As a key member of our GenAI team, you will play a crucial role in driving innovation and shaping the future of AI at S&P Global. If you have a strong background in ML/MLOps, along with excellent leadership and communication skills, we invite you to apply for this exciting opportunity.

1. Lead and manage a team of engineers to develop and deploy state-of-the-art ML solutions and infrastructure.
2. Develop and implement strategies for efficient and effective ML/MLOps processes.
3. Collaborate with cross-functional teams to identify opportunities for AI-driven technologies and drive innovation.
4. Stay updated on the latest developments and advancements in the field of machine learning and MLOps.
5. Provide technical guidance and mentorship to team members to ensure high-quality and timely delivery of projects.
6. Monitor and evaluate the performance of the team and provide regular feedback and coaching to support their growth and development.
7. Work closely with stakeholders to understand business needs and translate them into ML/MLOps solutions.
8. Collaborate with IT and DevOps teams to ensure smooth integration and deployment of ML models.
9. Conduct regular trainings and workshops to enhance ML/MLOps knowledge and skills within the team.
10. Keep track of project timelines and budgets, and make necessary adjustments to ensure successful project delivery.
11. Communicate project updates, progress, and challenges to senior management and stakeholders.
12. Conduct research and experiments to identify new tools and techniques to improve ML/MLOps processes.
13. Ensure compliance with data privacy and security regulations.
14. Continuously evaluate and improve processes to increase efficiency and scalability of ML/MLOps solutions.
15. Represent the GenAI team in industry events, conferences, and workshops to showcase our work and network with other professionals in the field.

According to JobzMall, the average salary range for a GenAI ML/MLOps Engineering Lead (Remote or Hybrid) is between $150,000 and $200,000 per year. This can vary depending on the specific company, location, and years of experience. Some companies may also offer additional benefits such as bonuses and equity.

S&P Global, Inc. provides ratings, benchmarks, analytics and data to the capital and commodity markets worldwide. . The capital markets include asset managers, banks, exchanges, issuers and financial advisors; the commodities markets include producers, traders and intermediaries within energy, metals and agriculture. It operates through the following segments: : Standard & Poor's Ratings, S&P Capital IQ, S&P Dow Jones Indices and Commodities & Commercial.