AI & Machine Learning Intern – Data Engineer

About the role

Lesen Sie weiter, um sich ein umfassendes Bild von dieser Stelle zu machen und zu erfahren, was für einen erfolgreichen Bewerber erforderlich ist.
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 identifyefficiency needs from various perspectives and develop cutting-edge solutions using AI anddata management. Be a part of Project NOVA (Next-gen Optimization with Visionary AI) andwork 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 SQLDatabase).
Familiarity with BI tools and data transformation. xmdgtar

Requirements
Applicants must submit their Github profiles alongside resumes.