Calpine Corporation is looking to develop AI-driven tools and applications to optimize energy operations, enhance forecasting, and improve operational efficiency by integrating machine learning models, including large language models (LLMs) and generative AI, into their energy management systems.
Requirements
- Candidates should have experience or demonstrable familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, with a focus on developing, fine-tuning, or deploying machine learning models for practical applications.
- Exposure to building or integrating AI-driven solutions, such as predictive analytics, anomaly detection, or optimization algorithms, is highly valued.
- Experience with generative AI platforms and large language model (LLM)-based applications, such as chatbots, automated content generation, or decision-support systems, is a significant plus.
- Proficiency in Python and/or JavaScript (Node.js, React, or similar frameworks).
- Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and generative AI platforms or LLMs (e.g., GPT, BERT, or similar).
- Experience with databases (e.g., PostgreSQL, MongoDB) and REST API development.
- Knowledge of version control systems (e.g., Git).
Responsibilities
- Collaborate with data scientists to integrate machine learning models (e.g., using TensorFlow, PyTorch, or scikit-learn) for applications such as energy demand forecasting, predictive maintenance, or carbon emission optimization.
- Develop and optimize server-side logic, APIs, and database interactions using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing.
- Build and maintain responsive user interfaces for internal tools and dashboards using modern JavaScript frameworks (e.g., React, Vue.js) and CSS frameworks like Tailwind CSS.
- Design and implement generative AI solutions, including LLM-based applications (e.g., using models like GPT or BERT), to create automated reports, simulate energy scenarios, or enhance decision-support tools for operational teams.
- Assist in building and maintaining data pipelines for processing real-time and historical energy data to support AI-driven applications.
- Design and implement RESTful APIs to connect front-end interfaces with AI/ML back-end services and energy data systems.
- Write unit and integration tests to ensure code quality and debug issues across the full stack.
Other
- 5 years of experience in software development, with hands-on exposure to full-stack development or AI/ML projects (professional work, internships, personal projects, or coursework acceptable).
- Candidates should demonstrate an ability to apply AI/ML techniques to solve business problems, ideally in domains like energy, operations, or data-driven decision-making.
- Bachelor’s degree in computer science, Engineering, Data Science, or a related field (or equivalent experience).
- Strong problem-solving skills and eagerness to learn.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
