Editing 2023-12-10 Lead MLOps Engineer Standard and Poor global

Tags: [[tag:jd]] [[tag:StandardAndPoorGlobal]] [[tag:DataEngineer]] [[tag:MLOpsRole]] Job Description S&P Global Ratings The Role: Lead, MLOps Engineer Grade/Level (relevant for internal applicants only): 11 The Location: NY, NYC (hybrid) or Princeton, NJ (hybrid) or US, Virtual or Toronto, CA (onsite) We are seeking a Lead MLOps Engineer to join our MLOps team within the Data Science COE at S&P Global. As a Lead MLOps Engineer, you will contribute to the deployment, monitoring, and management of machine learning models and data pipelines. You will work with a peer group of MlOpa engineers to develop MLops modules and engineering solutions. In this role, you will play a pivotal role in implementing our machine learning operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines. You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams. You will contribute to engineering and developing solutions for ML operations and be a critical part of leading S&P’s AI-driven transformation to drive value internally and for our customers. S&P is a leader in automation and AI/ML to transform risk management. This role is a unique opportunity for MLops / LLMops engineers to grow into the next step in their career journey. Responsibilities: - ML Model Deployment: Assist in deploying machine learning models into production environments. - AI ML pipeline and model Monitoring: Contribute to the monitoring and maintenance of model performance and infrastructure health. - Automation: Participate in the development and maintenance of automated MLOps pipelines. - Collaboration: Collaborate with cross-functional teams to integrate machine learning models into production systems. - Documentation: Maintain documentation of MLOps processes and procedures. - Work closely with members of technology teams in the development, and implementation of Enterprise AI platform. - Problem Solving: Assist in troubleshooting and resolving MLOps-related issues. What We’re Looking For: - Bachelor's degree in Computer Science, Engineering, or a related field. - Few years of experience (2+ years) in MLOps, machine learning engineering, Big Data, or a related role. - Familiarity (ideally 1-2+ years of experience) with containerization, scripting, cloud platforms, and CI/CD. - -3 years of experience with Python, Java, Kubernetes, and data and workflow orchestration tools - 1+ years of experience with Elasticsearch, SQL, NoSQL, Apache spark, Flink, Databricks and Mlflow, - Prior 1-3 experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions - Plus: Experience with contributing to github and open-source initiatives or in research projects and/or participation in Kaggle competitions Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $120,000 - $200,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. About Company Statement: S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Ratings offers critical insights for credit, risk and sustainable finance solutions that are essential to translating complexity into clarity, so market participants can uncover opportunities. S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. ----------------------------------------------------------- IFTECH202.2 - Middle Professional Tier II (EEO Job Group) - Job ID: 293553 - Posted On: 2023-10-21 - Location: New York, New York, United States

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