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We are looking for an AI Engineer to join our team. In this role, you will contribute to the development and implementation of AI and Machine Learning solutions that optimize renewable energy projects. You will work on creating scalable models, applications, and workflows that drive data-driven decision-making across the organization while adhering to established engineering standards and practices.
Job Responsibility:
Develop, test, and deploy AI/ML models and applications to enhance renewable energy planning, forecasting, and construction processes
Build and maintain MLOps workflows, including data pipelines, model packaging, versioning, monitoring, and retraining
Collaborate with IT and data teams to ensure AI solutions meet security, integration, and performance requirements
Break down technical requirements into actionable tasks and contribute to design implementation during reviews
Deliver scalable and secure solutions by following established standards and reference architectures
Support deployment of AI/ML solutions to cloud environments, with a focus on Azure
Create APIs and integrate AI solutions into enterprise systems to enable seamless operations
Utilize advanced machine learning frameworks such as TensorFlow and Scikit-learn to develop innovative solutions
Analyze data engineering concepts and apply them to enhance AI workflows
Provide technical input and partner with stakeholders to meet project objectives
Requirements:
Bachelor’s degree in Computer Science, Data Science, or a related field
Minimum of 2 years of experience in Machine Learning, AI Engineering, or similar domains with attention to detail
Proven experience in developing AI/ML solutions and deploying them to cloud platforms, preferably Azure
Proficiency in programming languages such as Python and expertise in API development
Familiarity with modern ML frameworks such as TensorFlow, Scikit-learn, XGBoost, and LangChain
Strong understanding of data engineering concepts and enterprise integration patterns
Knowledge of computer vision techniques and their application to AI workflows
Ability to work collaboratively with cross-functional teams to deliver high-quality solutions