AI Solutions Developer
hace 7 días
Edelman is a trusted leader in the communications industry, where innovation meets action. Our culture thrives on boldness, empathy, and curiosity, driving us to reimagine a future where communication is more than just words. We understand that diversity, equity, inclusion, and belonging are essential for transforming our colleagues, clients, and communities. At Edelman, we're committed to creating an equitable and inspiring workplace that fosters trust, collaboration, and belonging.
About the RoleWe're seeking a talented and experienced machine learning engineer to join our dynamic, remote-first team at Edelman. As a core contributor, you'll design, experiment, and implement 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 UsWe 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'll be part of the team shaping it. If you're passionate about creating meaningful, high-quality work in a supportive and forward-thinking environment, you'll thrive here.
Responsibilities:- Develop and deploy data science solutions across various domains and approaches.
- Collaborate closely with UX designers, MLOps engineers, front/back-end developers, data engineers, and product managers to deliver high-quality solutions aligning with business requirements.
- Document your work thoroughly to support future development and maintenance efforts.
To succeed in this role, you'll need:
- 5+ years of experience in data science and/or machine learning.
- 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.
- 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 in Python, experience with SQL is preferred.
- Experience with cloud services and platforms such as Databricks.
We provide:
- An estimated salary of $82,500 - $95,000 per year.
- A comprehensive benefits package, including annual bonuses, Paid Time Off policy, and region-specific benefits.
- The opportunity to work in a diverse, inclusive, and authentic workplace.
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