We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Machine Learning Engineer

Hunt Consolidated
401(k)
United States, Texas, Houston
Apr 02, 2025

Company Overview:

Hunt Energy Network is a dynamic and innovative power trading company operating in the Electric Reliability Council of Texas (ERCOT) market. We specialize in optimizing electricity trading and generation to ensure a reliable power supply while maximizing profitability. As a leader in the energy industry, we are seeking a skilled Machine Learning Engineer to join our team and contribute to our continued success.

Position Overview: The Machine Learning (ML) Engineer serves a critical role in the success of the HEN trading platform. In this role, the Engineer will design, develop, and optimize machine learning models and algorithms for real-world applications. This will include building scalable solutions for pricing, demand, supply, and renewable trends that affect the market. The ideal candidate will possess strong expertise in data science, deep learning, and algorithm development to support the company's trading, investment, and risk management strategies.

Responsibilities:



  • Develop and enhance algorithmic bidding and execution models for Day-Ahead and Real-Time markets, optimizing trading strategies using advanced machine learning techniques.
  • Conduct market analytics, including forecasting supply, demand, congestion impacts, and trends in renewable generation, leveraging data-driven insights to inform trading decisions.
  • Design and implement time series forecasting models using machine learning and deep learning techniques, extracting meaningful features to enhance predictive accuracy.
  • Monitor and assess deployed models for stability, detecting data drift, and scheduling periodic retraining to ensure optimal performance.
  • Collaborate with traders, software engineers, and data scientists to integrate ML-driven insights into production systems and optimize revenue strategies.
  • Leverage cloud-based solutions and ML operations practices to enable scalable, efficient, and automated model deployment.


Required Qualifications:



  • Education and Experience: Bachelor's or Master's degree with a minimum of 2 years of industry experience, or PhD in Computer Science, Data Science, or a related field.
  • Programming: Strong programming skills in Python, with experience in ML frameworks such as TensorFlow and Scikit-learn.
  • Data Management: Proficiency in data preprocessing, feature engineering, and model evaluation.
  • Problem-Solving: Excellent problem-solving and analytical skills, with the ability to interpret complex data and extract actionable insights.
  • Communication: Strong written and verbal communication skills, capable of conveying complex information to both technical and non-technical stakeholders.
  • Collaboration: Effective teamwork and collaboration in cross-functional environments.
  • Adaptability: Ability to thrive in a fast-paced, dynamic setting and adapt to changing market conditions.


Preferred Qualifications:



  • Cloud Computing: Experience with cloud computing platforms and ML deployment tools.
  • Programming: Exposure to Mixed-Integer Programming is a plus.
  • Energy Knowledge: Understanding of power market operations, regulations, and pricing dynamics.
  • Optimization Experience: Experience in energy trading, optimization research, or revenue analysis, with a strong focus on data-driven decision-making.


Company Highlights:



  • For 90 years, we have nurtured creative ideas and turned them into successful realities using three core strategic pillars - creativity, excellence, and people.
  • 401K - 12% employer contribution with no vesting period (6% Match and 6% non-matching contribution).
  • Highly competitive compensation.
  • Hybrid work options are available for most roles.
  • Five to eight weeks of PTO annually based on years of experience; eleven additional holidays per calendar year.
  • All Medical/Dental/Vision benefits start on day one with the company; low employee premiums.
  • Commitment to the following ideals:
  • Work/Life Balance
  • Ongoing professional development opportunities
  • An exceptional employee experience



Hunt is committed to a diverse and inclusive workplace. Hunt is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#LI-HYBRID

#HUNTENERGY

Applied = 0

(web-6468d597d4-98p82)