- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Design, build and run services at high scale and availability
- Run machine learning tests and experiments
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- Demonstrates strong business acumen and understanding of manufacturing and finance concepts
- Adept at quickly acquiring software skills
- Evaluate new AI & software tools through POCs and propose solutions for implementation
- Document guides, systems design, reference architectures and implementations
AI/Machine Learning Engineer - Erlanger, United States - Hire IT People
Description
Locations:
Only considering profiles that are local to Ohio/Kentucky/Indiana at this time.
MUST HAVES:
8+ years of experience with Python engineering with expertise with large language modules
5+ machine learning and engineering
Machine learning builds generative AI models, understand how to condense or expand that data
Experience working with Azure cloud
Dealing with massive amounts of data how much
6+ months with one of the following: Prompt Engineering or, RAG (Retrieval Augmented Generation) or FineTuning
Plusses:
DevSec Ops
Azure DevOps
DAY 2 DAY:
A large Agriculture organization is seeking a Generative AI Engineer that will sit onsite in the Greater Cincinnati, Ohio area. Were looking for a Generative AI Engineer to join our Artificial Intelligence team and work with our team of data scientists to automate the training and evaluation of models within an Azure ecosystem. This position will partner with many business, product and science teams, so written and in-person communication skills are extremely important. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for building complete engineering solutions supporting the latest advances in artificial technology. We have many different functions in the team, and this role requires a broad range of skills such as machine learning, data, optimization, and platform/infrastructure engineering.
Key Responsibilities