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# Machine Learning Engineer II

- **Company:** Sp Global, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $140,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Encodings, Computer Programming, Text Processing, Github, Information Retrieval, Python (Programming Language), Search Algorithms, PostgreSQL, Machine Learning, Natural Language Processing, Tensorflow, Management of Software Versions, Data Processing, Pytorch, Large Language Models, Prompt Engineering, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Virtual Agents, Software Library, Docker, Jenkins
- **Published:** August 12, 2026
- **Apply:** https://spgi.wd5.myworkdayjobs.com/SPGI_Careers/job/New-York-NY/Machine-Learning-Engineer-II_330645

## About the Role

* Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 * 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing, including designing, shipping, and maintaining production systems
 * Strong programming skills in Python, with a working knowledge of data processing tools and ML frameworks such as PyTorch, Transformers, and HuggingFace
 * Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, LLamaIndex, etc.
 * Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
 * Experience working with vector databases (e.g., PostgreSQL/PGVector, OpenSearch, Pinecone) and understanding of similarity search techniques and vector indexing algorithms
 * Demonstrated effective coding, documentation, collaboration, and communication habits
 * Strong problem-solving skills and a proactive approach to addressing challenges
 * Ability to adapt to a fast-paced and dynamic work environment

Technologies We Love:

 * ML: PyTorch, Transformers, HuggingFace, LangChain
 * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM
 * Techniques: Agentic Search, Prompt Engineering, Information Retrieval, Data Embedding, AI agent evaluation
 * Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS, Github Action



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