Remote Senior Machine Learning Engineer at Daniel J Edelman Holdings

Description:

Edelman is seeking a talented and experienced Senior Machine Learning Engineer to join their dynamic, remote-first team.
The role involves designing, experimenting, and implementing machine learning and GenAI solutions as part of the global product development group.
The team focuses on creating AI-driven solutions that deliver actionable PR insights for clients.
The work environment is collaborative and open, valuing every team member's voice.
The position emphasizes the importance of data and AI in shaping Edelman's future.

Candidates must have 5+ years of data science and/or machine learning experience.
Experience in delivering production-ready machine learning models for both structured and unstructured data, including LLMs, time series, and tabular models, is required.
Experience with Vision models and OpenAI’s custom GPTs and model endpoints is preferred.
Candidates should be comfortable working through the entire data science lifecycle, from ideation to model deployment.
Proficiency in Python is required, and experience with SQL is preferred.
Familiarity with ML and DevOps tools such as MLFlow and Git is necessary.
Experience with cloud services and platforms, such as Databricks, is also required.
Excellent communication skills in English and the ability to work effectively across teams are essential.
Candidates should be able to work autonomously on complex tasks and have experience in a Scrum or Agile environment.

The salary range for this position is €75,000 - €90,000 a year, based on various factors including education, qualifications, experience, and performance.
The total compensation package may include annual bonuses and a Paid Time Off policy.
Region-specific benefits are also part of the compensation package.
Edelman is dedicated to building a diverse, inclusive, and authentic workplace, encouraging candidates to apply even if their experience does not perfectly align with every qualification.