.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.At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities.
We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.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 as part of our global product development group.
This team focuses on creating AI-driven solutions that deliver actionable PR insights for our clients.Why You'll Love Working with Us 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.Responsibilities: Develop and deploy data science solutions across a wide range of domains and approaches.Collaborate closely with UX designers, MLOps engineers, front/back-end developers, data engineers, and product managers to deliver high-quality solutions that align with business requirements.Document your work thoroughly to support future development and maintenance efforts.Technical 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 GPTs 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.Non-Technical Requirements: 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