ML Engineer
Numerator
Job Description
We are looking for a well-rounded and passionate Software Engineer 2 to join our team in creating an amazing client experience. If you’re interested in working on all layers of a system from developing web applications to creating flexible and scalable data architectures with the latest technologies and tools, then Numerator is for you.
Responsibilities:
+ Work closely with Product staff, fellow engineers and managers to create new solutions to solve client use-cases. Take a task, get clarity as needed, and run with it to produce well-designed quality code.
+ Work with large-scale datasets to clean, preprocess, and transform data for training.
+ Implement and maintain automated model training, validation, and testing pipelines.
What we offer you:
+ Data that matters and that is shaping the impact of billion dollar brands.
+ Brillant, motivated and passionate colleagues with whom to spend your time.
+ An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come.
+ Market competitive total compensation package.
+ Volunteer time off and charitable donation matching.
+ Regular hackathons to build your own projects and work with people across the entire company
+ Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.
+ What you bring:
+ Minimum 4 years of strong working experience in Python and relevant libraries (Pandas, Numpy, Scikit-learn, etc.)
+ Experience with PyTorch and/or Tensorflow.
+ Experience with creating predictive models using machine learning algorithms.
+ Strong fundamentals in NLP and computer vision, image processing and deep learning algorithms.
+ Familiarity with Large Language Models (LLMs) like GPT, BERT, etc.
+ Familiarity with vector databases and retrieval-augmented generation (RAG) is a bonus.
+ Knowledge of agile development process
+ Good English communication skills (written/verbal)
+ Experience with version control systems (Git etc.)
+ Experience with SQL databases.
Nice to Haves:
+ Working experience with FastAPI/Flask and React.
+ Understanding of SQLAlchemy ORM.
+ Understanding of using RESTFUL API’s
+ Familiarity with AWS.
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