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Industrial CO2 Refrigeration Systems Architect/Engineer

Copeland

Remote

Full-time

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology th

Data Architect

Copeland

Remote or St. Louis, Missouri, USA

Full-time

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology th

Lead II Software Engineer

S&P Consultants

Remote or Princeton, New Jersey, USA

Full-time

About the Role: Grade Level (for internal use): 12 Lead Software Engineer -S&P Dow Jones Indices S&P Dow Jones Indices is seeking Lead II, Full-stack Developer with backend and frontend development expertise to be a key player in planning, preparation and development of software for key platform. This role requires a seasoned engineer who works effectively, both independently as well as collaboratively, in a team environment. The candidate must be a delivery-focused person with financial appli

GenAI ML/MLOps Engineering Lead (Remote or Hybrid)

S&P Consultants

Remote or New York, New York, USA

Full-time

About the Role: Grade Level (for internal use): 11 About the Role: We are seeking a Lead/Associate Director of ML & MLOps Engineering - GenAI to join our ML team within the Data Science COE at S&P Global focusing on building Generative AI solutions. You will lead the engineering activities for building production grade generative AI solutions, play a pivotal role in implementing our machine learning engineering operations to ensure the seamless deployment, monitoring, and management of our ma

Associate Director of Data Science - RAG, NLP, LLM and GenAI (Hybrid or Remote)

S&P Consultants

Remote or New York, New York, USA

Full-time

About the Role: Grade Level (for internal use): 12 The Role: Associate Director of Data Science - RAG, NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting

Associate Director of Generative AI Platform Engineering (Hybrid or Remote)

S&P Consultants

Remote or New York, New York, USA

Full-time

About the Role: Grade Level (for internal use): 12 About the Role: S&P is a leader in automation and AI/ML to transform risk management. We are seeking an Associate Director of Generative AI Platform Engineering to join our ML team within the Data Science COE at S&P Global. The desired candidate is an innovative, a hands-on coder with previous experience developing large-scale platforms utilizing data engineering, machine learning and cloud platforms & services. The Team: The Associate Direc

Lead Data Engineer - Big Data

S&P Consultants

Nevada, USA

Full-time

About the Role: Grade Level (for internal use): 12 About the Role: Title: Lead Data Engineer - Big Data The Team: You will be an expert contributor and part of the Rating Organization's Ingestion Pipelines Engineering Team. This team, who has a broad and expert knowledge on Ratings organization's critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership