Machine Learning Engineer

Visa: only USC and GC/PR Title: Machine Learning Engineer 3 - MLENG3 Duration:10/13/2025 to 10/13/2026 Location: CHQ002 - Southern Co Gas Corp HQ, 10 Peachtree Place NE Suite 1000, Atlanta, GA 30309. Position: Onsite Pay Range: $60-$69/hr on w2 Note: This request will have pre-screening questions for the candidates. These pre-screening questions will be provided at a later date and also input into the External Notes section. Desired Qualifications: Job Summary: The AI Engineer will design, develop, and deploy AI models and systems that enhance business operations and drive innovation. This role requires a strong foundation in machine learning, data analysis, and software development, along with the ability to collaborate with cross-functional teams to integrate AI solutions into existing processes. Key Responsibilities: Develop AI Models: Design and implement machine learning models and algorithms to address business challenges and improve operations. Data Analysis: Analyze large datasets to extract meaningful insights and patterns that inform AI model development. Model Training and Evaluation: Train, test, and validate AI models to ensure accuracy, efficiency, and scalability. Deployment and Integration: Deploy AI models into production environments and integrate them with existing systems and applications. Research and Innovation: Stay updated with the latest advancements in AI and machine learning technologies and apply them to enhance current projects. Collaborate with Teams: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet organizational goals. Performance Monitoring: Monitor the performance of AI models and systems, making adjustments as necessary to optimize outcomes. Documentation: Maintain comprehensive documentation of AI models, algorithms, and processes to ensure knowledge sharing and continuity. Experience: Proven experience in AI, machine learning, or data science roles, with a track record of successful AI model development and deployment. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of data structures, algorithms, and statistical methods. Familiarity with Azure cloud platform and services (Azure ML, Azure Databricks). Soft Skills: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work independently and manage multiple projects simultaneously. Preferred Qualifications: Experience with natural language processing (NLP) and computer vision. Knowledge of big data technologies and tools (e.g., Hadoop, Spark). Understanding of software development lifecycle and agile methodologies