Machine Learning Engineer

7 days ago


Houston, United States TRADING FIRM LTD Full time

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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