AI/MLOps Full Stack Engineer Associate Director (Remote)

at  SP Global

REQUIRED SKILLS/QUALIFICATIONS

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experienced professional (7+ years experience) as full-stack engineer, architect, engineer with core hands-on experience
4+ years hands-on experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions and APIs at speed and scale, including integration with enterprise applications and APIs

5+ YEARS OF EXPERIENCED IN DEVELOPING FRONT-END TECHNOLOGY:

5+ years of experience with front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries such as React Js, Next.js, Angular, Node.js, jQuery, and LESS
5+ years of experience with Development languages: Expert-level skills in server-side programming languages including .Net, Java, Ruby and Python
5+ Years of experience with Databases and cache: Experienced with DBMS technology, including SQLServer, Oracle, MongoDB and MySQL and caching mechanisms such as Redis, Memcached and Varnish
3+ Years of Basic UI/UX design ability: Including knowledge of UI/UX and basic front-end prototype design
5+ Server: Experience working with Nginx or Apache servers with a solid background in Linux
Excellent writing and communication skills
Ability to visualize a proposed system involving API integration with back-end and data pipelines, and be able to build it
Excellent written & verbal communication and stakeholder management skills
Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills
Nice to have: Experience with full-stack engineering development for deep learning and LLM solutions, and contributing to Github and open source initiatives or in research projects
About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit www.spglobal.com/ratings
What’s In It For You?

OUR PEOPLE:

We’re more than 35,000 strong worldwide—so we’re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

ABOUT THE ROLE:

Grade Level (for internal use): 12
Job Title: Full-Stack Engineering Associate Director (Ratings GenAI Team)
The Data Science COE at S&P Global is looking for a hands-on Full-Stack Engineering leader to lead the full-stack engineering design and development efforts for the ML applications developed by the COE. role will lead, implement and define the full-stack platform strategy, and design and develop front-end and application layer solutions for our ML services while working with a broad range of partners across data, technology and business teams.
In this role, you will play a pivotal role in leading and implementing the design, test, and implementation of various software applications for our Machine Learning solutions. You will create software, applications, and scalable web services, while also providing leadership for software platform and engineering teams
You will be instrumental in developing full-stack solutions for our ML products and prototypes in a world class AI ML team while working alongside well-known experts and researchers in AI ML modeling, ML engineers and data science and data engineering teams. You will 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 risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for a hands-on full-stack engineer and application developer to grow into the next step in their career journey and apply her or his domain expertise for leading the integration of front-end applications and APIs for deep learning, GenAI, and LLM back-end models to drive business value for multiple stakeholders. The ideal candidate must have deep design and hands-on scalable web application development expertise, and integrating data-driven solutions with business functions to create the next generation of AI-powered capabilities.
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $150,000 to $225,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive 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 .

RESPONSIBILITIES INCLUDE:

Full-Stack System Architecture Design : Develop scalable full-stack system and front-end applications for ML back-end
Full-stack UI and System Development for AI products: Responsible for the development of custom architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements. Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform
System Infrastructure Management: Ensure the deployment, and management of scalable and reliable system and application infrastructure for AI, ML , GenAI, LLM products.
API development, integration and Testing: Lead the development and integration of scalable APIs .
Monitoring and Optimization: Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health. Identify and implement optimizations to improve system efficiency.
Internal Collaboration: Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
Stakeholder Engagement and Collaboration: Collaborate closely with ML teams, business and PM stakeholders in full-stack implementation efforts and ensure technical milestones align with business requirements.
Security and Compliance: Implement security measures and compliance standards of the full-stack systems and APIs to ensure adherence to industry regulations.
Mentorship: Mentor technical engineering talent. Provide guidance and mentorship to junior engineers, fostering their professional growth and development.
Documentation: Maintain comprehensive documentation of full-stack systems and applications for reference and knowledge sharing.
Standards and Best Practices: Ensure the use of standards, governance and best practices in ML pipeline monitoring and ML model monitoring, and adherence to model and data governance standards
Problem Solving: Troubleshoot complex issues related to full-stack system deployments and develop innovative solutions.

OUR PURPOSE:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.