Senior Ml Engineer -

GOCal

Mexico City, Mexico
2d onsite
Python (numpy, pandas, spacy, sklearn, pytorch/tf2, huggingface)
Large scale model deployment strategies
Ml & deep learning domain knowledge
As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients

Job Summary

  • As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients.
  • Design, Develop and Deploy ML powered products and pipelines, Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects, Play a central role in all stages of the AI product development life cycle.
  • Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective.

Matching Summary

As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients.

Skills & Requirements

Must-have

  • Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace)
  • Large scale model deployment strategies
  • ML & Deep Learning domain knowledge
  • Information Retrieval, Web scraping, Data Extraction
  • SOTA NLP models, text matching techniques
  • Design, Develop and Deploy ML products

Nice-to-have

  • Thoughtful risk-taking and self-initiative
  • Spirit of discovery and collaboration
  • Curiosity driven team
  • Continuous learning and growth

Key Requirements

  • 5+ years relevant ML Engineering experience
  • Master's / PhD in relevant specialization
  • Proven track record as senior/lead ML engineer
  • Experience with R-Shiny/Dash/Streamlit, SQL, Airflow, Redis, Celery, Flask/Django/FastAPI, Scrapy
  • Prior experience in Economics/Financial industry
  • Github, Kaggle, StackOverflow contributions

Work Rights

Not specified

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