AI Engineer/Machine learning engineer

ImpetusIT; Denver (CO); On-site; USD 60,000 - 70,000; Full time

Job summary

ImpetusIT is assisting a financial software company in hiring an AI engineer. The role focuses on designing and fine-tuning LLMs, developing NLP tools, and deploying AI models in cloud environments. Strong emphasis on Python, ML/DL, and Hugging Face libraries.

The ideal candidate will have hands-on experience with GPT/Llama/PaLM families and a track record of scalable AI deployments in production.

Qualifications

• Experience designing, training, and fine-tuning large language models (LLMs).
• Strong background in ML, DL, and NLP with practical deployment experience.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with model deployment and optimization in cloud environments.

Responsibilities

• Design, train, and fine-tune LLMs for diverse applications.
• Develop NLP solutions for text generation, summarization, and search.
• Optimize transformer architectures for performance and scalability.
• Apply prompt engineering to improve AI outputs and customization.
• Deploy, monitor, and optimize AI models in cloud environments.

Skills

Python

LLMs

NLP

Machine Learning

Deep Learning

Prompt engineering

Model evaluation

Tools

TensorFlow

PyTorch

Hugging Face

Job description

One of our staffing partners is helping a financial software company hire an AI engineer

Salary offered $60-70k per year

Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.

Responsibilities:

• Design, train, and fine-tune Large Language Models (LLMs) for various applications
• Develop advanced NLP solutions for text generation, summarization, and semantic search
• Optimize transformer-based architectures for performance and scalability
• Leverage prompt engineering and model customization to enhance AI outputs
• Worked on Gen AI extensively
• Deploy, monitor, and optimize AI models in cloud environments
• Strong background in Machine Learning, Deep Learning, and NLP
• Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
• Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries
• Experience with AI model deployment and optimization techniques