Alabama Power Company is looking to advance data-driven decision-making and operational efficiency across business units through the development of scalable AI solutions that support Advanced Metering Infrastructure (AMI) initiatives.
Requirements
- Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL.
- Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms.
- Experience with Azure-based ML deployment, data migration, and integration across diverse datasets.
- Familiarity with Generative AI and Large Language Models; hands-on experience is a plus.
- Strong analytical skills for monitoring and troubleshooting data pipelines and solutions.
- Experience with machine learning models, including supervised and unsupervised models.
- Knowledge of data engineering and data science concepts, including data preprocessing, feature engineering, and model evaluation.
Responsibilities
- Identify and evaluate AI/ML opportunities aligned with AMI business objectives.
- Develop and refine machine learning models to solve complex problems using enterprise-scale data.
- Architect and implement an AMI-specific AI development framework under the AMI Governance Committee.
- Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management.
- Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines.
- Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication.
- Partner with end-users to understand analytical needs and co-create data-driven solutions.
Other
- Master’s degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence.
- Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models.
- Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels.
- Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling.
- Being on-site at the APC HQ office 4 days a week.
