AI/ML Engineer (Atlanta) (Finance)

The first 3 letters in workplace safety are Y-O-U!

TK Elevator is currently seeking an experienced AI/ML Engineer located inAtlanta, GA.

This role will play a pivotal role in designing, developing, and deploying AI/ML solutions to drive business insights, improve decision-making, and enhance customer experience through advanced machine learning and Generative AI techniques.

ESSENTIAL JOB FUCTIONS:

• Develop and deploy advanced machine learning models and AI-driven solutions to address business challenges across departments.
• Design and implement generative AI and NLP applications (e.g., chatbots) to enhance business operations and productivity.
• Build and maintain scalable data pipelines for training and deploying AI/ML models, ensuring seamless integration with business operations.
• Collaborate with stakeholders to identify use cases and translate business problems into AI/ML-driven technical solutions.
• Customize Salesforce AI tools (e.g., Salesforce Einstein) to optimize predictive analytics and automation across sales, service, and marketing teams.
• Continuously improve model performance by monitoring, retraining, and refining models based on evolving data and business needs.
• Leverage Azure AI services, Azure OpenAI, Databricks, Salesforce AI, and other data engineering tools to develop and deploy scalable AI/ML solutions.
• Contribute to documentation, knowledge sharing, and best practices for AI/ML adoption across the organization.
• Create visualizations of findings and build analytics products to effectively communicate insights and enable informed decision-making.

EDUCATION & EXPERIENCE:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• Master's in Data Science & Analytics, preferred.
• 2-3 years of hands-on experience in building and deploying AI/ML solutions in production environments.
• Strong proficiency in Python and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Solid understanding of statistical modeling and machine learning algorithms.
• Experience with Azure AI services, Azure OpenAI, and Databricks for model deployment and data integration.
• Familiarity with data engineering tools such as Spark, Azure Databricks and Azure Data Factory (ADF), desired.
• Familiarity with Salesforce Einstein AI and its integration with business systems.
• Strong understanding of MLOps practices, including CI/CD pipelines for ML model deployment.
• Experience with visualization tools such as Power BI or Tableau.
• Strong problem-solving skills, with a focus on translating technical insights into business recommendations.
• Excellent communication skills, with the ability to work with both technical and non-technical stakeholders.

The first 3 letters in workplace safety are Y-O-U!

TK Elevator is currently seeking an experienced AI/ML Engineer located inAtlanta, GA.

This role will play a pivotal role in designing, developing, and deploying AI/ML solutions to drive business insights, improve decision-making, and enhance customer experience through advanced machine learning and Generative AI techniques.

ESSENTIAL JOB FUCTIONS:

• Develop and deploy advanced machine learning models and AI-driven solutions to address business challenges across departments.
• Design and implement generative AI and NLP applications (e.g., chatbots) to enhance business operations and productivity.
• Build and maintain scalable data pipelines for training and deploying AI/ML models, ensuring seamless integration with business operations.
• Collaborate with stakeholders to identify use cases and translate business problems into AI/ML-driven technical solutions.
• Customize Salesforce AI tools (e.g., Salesforce Einstein) to optimize predictive analytics and automation across sales, service, and marketing teams.
• Continuously improve model performance by monitoring, retraining, and refining models based on evolving data and business needs.
• Leverage Azure AI services, Azure OpenAI, Databricks, Salesforce AI, and other data engineering tools to develop and deploy scalable AI/ML solutions.
• Contribute to documentation, knowledge sharing, and best practices for AI/ML adoption across the organization.
• Create visualizations of findings and build analytics products to effectively communicate insights and enable informed decision-making.