Machine Learning Engineer 3 (AI Engineer)
Machine Learning Engineer 3 (AI Engineer)
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Salary Not Disclosed
1 Vacancy
Job Description
Location: Atlanta GA
Client- Southern Company Gas
Contract- 1 Year
We are seeking a highly skilled Machine Learning Engineer (Level 3) with 5 10 years of experience to design develop and deploy advanced AI models and systems. This role requires expertise in machine learning data analysis and model deployment to optimize business operations and drive innovation within the utilities and energy sector.
The successful candidate will collaborate with cross-functional teams-including data scientists engineers and business stakeholders-to integrate AI solutions into real-world applications that support operational efficiency customer service and sustainability initiatives.
Key Responsibilities-
AI Model Development: Design and implement machine learning models and algorithms to address utility-specific challenges such as grid optimization asset reliability predictive maintenance and customer analytics.
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Data Analysis: Analyze large complex datasets from SCADA AMI and IoT systems to extract actionable insights.
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Model Training & Evaluation: Train test and validate AI models to ensure accuracy scalability and compliance with industry reliability standards.
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Deployment & Integration: Deploy AI solutions into production systems and integrate with enterprise platforms (e.g. Azure Maximo EMS/DMS systems).
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Innovation: Stay current with the latest advancements in AI/ML and recommend solutions that can enhance grid resilience safety and efficiency.
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Collaboration: Partner with engineering IT and business units to define requirements and deliver business-aligned AI solutions.
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Performance Monitoring: Continuously monitor AI models and refine as needed to maintain performance and compliance.
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Documentation & Knowledge Sharing: Create clear documentation of models workflows and processes for reuse and compliance.
Education:
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Bachelors or Masters degree in Computer Science Data Science Engineering Mathematics or a related field.
Experience:
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5 10 years of experience in AI ML or data science roles with proven success in AI model development and deployment.
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Industry experience in utilities energy or large-scale infrastructure data is preferred.
Technical Skills:
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Proficiency in Python R or Java.
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Experience with ML frameworks: TensorFlow PyTorch scikit-learn.
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Strong grasp of data structures algorithms and applied statistics.
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Familiarity with cloud platforms such as Azure ML and Azure Databricks (preferred) AWS or Google Cloud (a plus).
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Experience with big data tools (e.g. Spark Hadoop) is desirable.
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Exposure to natural language processing (NLP) or computer vision a plus.
Soft Skills:
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Strong analytical and problem-solving abilities.
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Excellent communication skills for cross-functional collaboration.
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Ability to work independently and manage multiple projects simultaneously.
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Experience working in agile or iterative development environments.
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Lighting up AI/ML use cases in the utility/energy sector (e.g. outage prediction DERMS optimization vegetation management analytics).
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Certifications in AI/ML data science or cloud platforms (Azure AWS GCP).
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Experience with MLOps pipelines and CI/CD integration for model deployment.
Employment Type
Full-time
