Data Scientist (AI)

TL;DR

Data Scientist (AI): Developing and optimizing machine learning and generative AI solutions for the energy industry with an accent on product development and cloud deployment. Focus on implementing MLOps practices, integrating LLMs, and solving complex analytical problems on hyperscale platforms.

Location: Houston, TX, United States

Company

hirify.global is a global technology consulting and digital solutions company.

What you will do

• Drive business decisions by extracting insights from data and analyzing trends and patterns.
• Build and optimize machine learning techniques and algorithms to improve new product accuracy.
• Design and deploy robust GenAI solutions on hyperscale cloud platforms such as AWS, Azure, GCP, or Databricks.
• Implement MLOps practices to ensure scalable, reliable, and maintainable ML workflows.
• Collaborate with software developers and ML engineers to integrate analytical models into production.
• Communicate technical findings to both technical and non-technical stakeholders.

Requirements

• Advanced degree in Computer Science, Machine Learning, Statistics, Mathematics, Geology, or a similar quantitative field.
• Proficiency in scientific scripting languages such as Python, R, or Matlab.
• Experience accessing and manipulating data within SQL database environments.
• Demonstrated experience deploying real-world ML solutions on AWS, Azure, GCP, or Databricks.
• Familiarity with foundational Generative AI concepts, including LLMs, transformers, and diffusion models.
• Must be based in or authorized to work in the United States.

Nice to have

• Experience with object-oriented programming (Python, C++, Java).
• Knowledge of deep learning toolkits such as TensorFlow, PyTorch, or Keras.
• Domain expertise in the energy industry and its specific challenges.
• Experience with MLOps tools like MLflow, Kubeflow, or Data Version Control (DVC).
• Hands-on experience with GenAI frameworks like LangChain, LangGraph, Semantic Kernel, or DSPy.