Senior Machine Learning Engineer

Yesterday

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Logo of Edelman

Edelman

Public Relations • Digital Communications • Social Media Marketing • Strategic Communications • Marketing

5001 - 10000 employees

Founded 1952

🤝 B2B

📱 Media

Description

• Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. • Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum. • We are seeking a talented and experienced machine learning engineer to join our dynamic, remote-first team at Edelman. • You will be a core contributor to designing, experimenting, and implementing machine learning and GenAI solutions. • This team focuses on creating AI-driven solutions that deliver actionable PR insights for our clients. • At Edelman, we believe in a collaborative and open environment where every team member’s voice is valued. • Data and AI are central to Edelman's future, and you will be part of the team that is shaping it. • You'll thrive here if you're passionate about creating meaningful, high-quality work in a supportive and forward-thinking environment.

Requirements

• 5+ years of data science and/or machine learning experience. • Experience delivering production ready machine learning models for structured and unstructured data including LLMs, time series, and tabular models. • Experience with Vision models preferred. • Experience with OpenAI’s custom GPT’s and model endpoints is preferred. • Experience performing exploratory data analysis and communicating insights with non-technical teammates • Comfortable working through the whole data science lifecycle – from ideation to model deployment • Experience with ML and DevOps tools such as MLFlow and Git • Proficiency with Python, experience with SQL is preferred • Experience with cloud services and platforms such as Databricks • Proficiency in Python, experience with SQL is preferred • Excellent communication skills in English, with the ability to work effectively across teams • Ability to work autonomously on complex tasks • Experience working in a Scrum or Agile environment

Benefits

• Annual bonuses • Paid Time Off policy • Region-specific benefits

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