Machine Learning Engineer

Trading Firm - Houston, TX

Full-time

Houston, TX

About the position

The ML Platform role is essential for enhancing revenue through the design and implementation of machine learning systems. This position involves high-level architecture design and the development of distributed systems that support complex modeling over time series data. The role requires collaboration with both technical and business teams to translate modeling goals into actionable engineering roadmaps.

Responsibilities

• 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
• Work closely with business side
• Review code developed by other developers and provide feedback to ensure best practices

Requirements

• Industry experience with modern ML infrastructure, ML libraries, and ML ops
• Experience building 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
• 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)