Machine Learning Engineer
2 days ago
The ML Platform is a critical component in increasing revenue at our firm. The role will
require everything from high-level architecture design to performant implementation.
Responsibilities include:
Build distributed systems supporting complex modeling over time series data
Lead design, development, and deployment of machine learning systems
Understand and translate modeling goals & requirements into an engineering roadmap; future responsibilities could include leading key engineering initiatives in the forecasting platform
Work closely with business side
Review code developed by other developers and provide feedback to ensure best
practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
Qualifications
Industry experience with modern ML infrastructure, ML libraries, and ML ops
Have built large scale machine learning models and systems
Familiarity with the fundamentals of probability,
Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus
Fluency in Python with the ability to write clean, modular, well-documented code as well as a solid understanding of coding best practices
5+ years in industry developing and deploying machine learning models, preferably in NLP, LLM and ideally generative AI domains
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Transformers
Familiarity with cloud platforms (AWS) and containerization technologies (Docker)
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