Senior Machine Learning Engineer

Researcher - Talent Sourcing @ S&P Global

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 be 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

Good to have

Senior Level

Mid-Senior level

Employment type

Full-time

Job function

Consulting and Information Technology

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