AI ENGINEER
$150,000 - $200,000
FINTECH
CHICAGO (HYBRID, 4 DAYS ON SITE)
Harnham is partnering with a high-growth, exciting, FinTech business based in Chicago that is looking for a motivated candidate to join them in enhancing open-source AI.
THE COMPANY
This FinTech provides expertise on a range of technologies including AI & ML, Blockchain and more!
THE ROLE AND RESPONSIBILITIES
As an AI Engineer, you will be tasked with:
- Developing, Optimising and fine-tuning ML models to increase accuracy, efficiency and performance
- Utilize innovative AI Techniques for optimization (feature engineering, hyperparameter, transfer learning)
- Evaluate model performance, improving and implementing updates
- Integrate AI/ML tech into projects
- Support in documentation of model development, outcomes and areas for improvement
YOUR SKILLS AND EXPERIENCE
The successful candidate will have the following:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering or a similar field.
- Strong experience in AI or Machine learning model development
- Expertise in fine-tuning and optimization of ML models
- Excellent Python and familiarity with TensorFlow & PyTorch
- Skilled in Stakeholder Management and Communication
THE BENEFITS
Once placed an AI Engineer can expect:
- Between $150,000 and $200,000 per year
- Hybrid working with 1 day per week from home
- The opportunity to work on the very edge of AI and Machine Learning
- Ability to contribute to scientific discourse through publications, conferences, journals and events
HOW TO APPLY
To register your interest please send your CV to Luke via the apply link on this page.
Keywords: AI, ML, Artificial Intelligence, Machine Learning, LLM, Large Language Model, Research, Development, ML Research, ML Researcher, AI Research, AI Researcher, Data Science
YOUR SKILLS AND EXPERIENCE
The successful candidate will have the following:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering or a similar field.
- Strong experience in AI or Machine learning model development
- Expertise in fine-tuning and optimization of ML models
- Excellent Python and familiarity with TensorFlow & PyTorch
- Skilled in Stakeholder Management and Communication