Lead Software Developer (ML/GenAI Engineer)

The Team:S&P Global is looking for a motivated and goal-oriented ML/GenAI Engineer to join our team. The ideal candidate will thrive in a dynamic work environment, collaborating with a wide range of stakeholders and functional teams.

The Impact:As an ML Engineer / GenAI Engineer at S&P Global, you will apply your advanced analytical and engineering skills to transform our vast datasets into tangible business value.

Whats in it for you:You will be instrumental in the deployment of machine learning and generative AI solutions, collaborating on product development, and communicating your findings to drive business decisions.

Responsibilities:

• Design, develop, and deploy models for structured text generation, entity recognition, and transformation tasks.
• Train and fine-tune models using advanced tools.
• Knowledge about transformers, and experience in prompt engineering using Open AI.
• Experience using other LLMs is a plus.
• Build pipelines to convert unstructured text data into structured formats for downstream applications.
• Collaborate with data scientists, software engineers, and product teams to integrate models into production systems.
• Evaluate model performance, accuracy and continuously improve accuracy and efficiency.
• Stay updated with the latest advancements in GenAI, LLMs, and NLP technologies.
• Experience in model development lifecycle and MLOps.
• Experience with Jupyter Notebooks, and Notebook orchestration tools.
• Experience with AWS -- Sagemaker, S3, IAM, Lambda, and containers.

What Were Looking For

• 7+ years of experience in Python programming and machine learning.
• Hands-on experience with Named Entity Recognition (NER) frameworks such as SpaCy, along with familiarity in using annotation platforms like Prodigy.
• Experience with TensorFlow, PyTorch is a plus.
• Strong understanding of Generative AI concepts and practical applications.
• Proficiency in using OpenAI APIs for text transformation, generation.
• Solid grasp of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with REST APIs, cloud platforms (AWS/GCP/Azure) is a plus.
• Background in linguistics or computational linguistics is a bonus.
• Excellent problem-solving and communication skills.