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▷ [Aplicar en 3 Minutos] Senior ML Engineer...

▷ [Aplicar en 3 Minutos] Senior ML Engineer...

S&P GlobalMexico City, Mexico, MX
Hace 21 días
Descripción del trabajo

S&P Enterprise Data Organization

Senior ML Engineer

Job Description

The Team : 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. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.

What’s in it for you :

Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment

Responsibilities :

  • 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, including :
  • Designing Machine Learning systems and model scaling strategies
  • Research & Implement ML and Deep learning algorithms for production
  • Run necessary ML tests and benchmarks for model validation
  • Fine-tune, retrain and scale existing model deployments
  • Extend existing ML library’s and write packages for reproducing components
  • Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
  • Interpret results and present them to business leaders
  • Manage production pipelines for enterprise scale projects
  • Perform code reviews & optimization for your projects and team
  • Lead and mentor by example, including project scrums

Technical Requirements :

  • Proven track record as a senior / lead ML engineer
  • Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch / TF2, HuggingFace etc.)
  • Excellent exposure to large scale model deployment strategies and tools
  • Excellent knowledge of ML & Deep Learning domain
  • Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale
  • Exposure to the following technologies - R-Shiny / Dash / Streamlit, SQL, Airflow, Redis, Celery, Flask / Django / FastAPI, Scrapy
  • Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
  • Open to learning new technologies and programming languages as required
  • A Master’s / PhD from a recognized institute in a relevant specialization
  • Good to have :

  • 5+ years of relevant experience in ML Engineering
  • Prior substantial experience from the Economics / Financial industry
  • Prior work to show on Github, Kaggle, StackOverflow etc.
  • Location : Mexico City (2 days onsite)

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