Jobs via Dice · 6 hours ago
AI/ML Full Stack Engineer
Houston, TX
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expDice is the leading career destination for tech experts at every stage of their careers. Our client, Avenue Code, LLC, is seeking an AI/ML Full Stack Engineer to develop AI-driven tools and applications for optimizing energy operations and enhancing forecasting. This role involves both front-end and back-end development, integrating machine learning models into energy management systems.
Computer Software
Responsibilities
AI/ML Integration: 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
Back-End Development: Develop and optimize server-side logic, APIs, and database interactions using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing
App Development: 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
Generative AI Development: 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
Data Pipeline Support: Assist in building and maintaining data pipelines for processing real-time and historical energy data to support AI-driven applications
API Development: Design and implement RESTful APIs to connect front-end interfaces with AI/ML back-end services and energy data systems
Testing and Debugging: Write unit and integration tests to ensure code quality and debug issues across the full stack
Collaboration: Work with energy analysts, engineers, and product managers to deliver solutions that align with Calpine s operational and sustainability goals
Continuous Learning: Stay updated on AI/ML advancements, including generative AI and LLMs, full-stack development trends, and energy industry innovations to contribute innovative ideas
Qualification
Required
Position typically requires 10 years of IT experience, with 5 years of experience focused in software development, with hands-on exposure to full-stack development and experience with AI/ML projects (professional work, internships, personal projects, or coursework acceptable)
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
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)
Proficiency in Python (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
Basic understanding of cloud platforms (e.g., AWS, Google Cloud Platform, Azure) is a plus
Knowledge of version control systems (e.g., Git)
Preferred
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
Company
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase