TK Elevator is seeking an AI/ML Engineer to design, develop, and deploy AI/ML solutions to drive business insights, improve decision-making, and enhance customer experience through advanced machine learning and Generative AI techniques.
Requirements
- 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.
Responsibilities
- 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.
Other
- 2-3 years of hands-on experience in building and deploying AI/ML solutions in production environments.
- 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.
- Relocation assistance offered for candidates relocating more than 50 miles for this position.
