AI & Machine Learning Intern – Data Engineer

About the Role

Are you passionate about AI/ML and have hands-on experience in practical applications? Join us in revolutionizing the energy industry! We're forming a special task force to identify efficiency needs from various perspectives and develop cutting-edge solutions using AI and data management. Be a part of Project NOVA (Next-gen Optimization with Visionary AI) and work directly with our CEO and senior leadership team, enjoying full freedom to innovate.

Responsibilities

• Collaborate with cross-functional teams to identify AI/ML opportunities.
• Design, build, and deploy machine learning models.
• Analyze large datasets to extract insights.
• Document development processes and model results.
• Present findings to stakeholders using visualizations and reports.
• Stay updated with AI/ML advancements.
• Clean, structure, and engineer data for customs and BI projects.
• Develop and maintain data pipelines and workflows on Azure.
• Support data cleansing for multiple teams.

Skills and Attributes for Success

• Pursuing or recently completed a degree in Industrial Data Science, Engineering, Computer Science, AI, ML, or related field.
• Strong understanding of machine learning algorithms.
• Proficiency in Python, R, or Java.
• Experience with AI/ML libraries (e.g., Pinecone, TensorFlow, PyTorch, scikit-learn).
• Analytical and problem-solving skills.
• Communication and presentation skills.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with vector databases (e.g., Pinecone).
• Proficiency in Python and SQL.
• Experience with Azure Data Services (e.g., Azure Data Factory, Azure SQL Database).
• Familiarity with BI tools and data transformation.

Requirements

Applicants must submit their Github profiles alongside resumes.