Job ID
746095WD
Category
Data and Analytics Engineering
Time Type
Full time
Specialty/Competency
IFS - Information Technology (IT)
Level
Associate
Travel Requirements
Up to 20%
Locations
Tampa, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Rochester, Rosemont, Boston, Sacramento, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Seattle, Spartanburg, Albany, Stamford, Toledo, Atlanta, Tulsa, Denver, Des Moines, Boca Raton, Detroit, Buffalo, Florham Park, Fort Worth, Greensboro, Hartford, Houston, Grand Rapids, Indianapolis, Irvine, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Melville, Miami, Milwaukee, Minneapolis, Montpelier, Nashville, New Orleans, New York, Philadelphia, Phoenix, Pittsburgh, Portland
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models using Python and TensorFlow
- Integrating data from various sources to create unified views for analysis
- Building and maintaining data pipelines to support AI model deployment
- Applying complex data analysis techniques to discern patterns and trends
- Collaborating with team members to enhance AI solutions and drive business growth
- Utilizing natural language processing tools like NLTK for text analytics and sentiment analysis
- Implementing neural networks and deep learning methods for advanced AI applications
- Managing data quality and infrastructure to support reliable AI operations
- Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering
- At least a Bachelor's degree or, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college is required
- At least 1 years of experience
- In at least one of the following fields of study: Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Building and orchestrating AI agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions
- Applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models