Machine Learning Engineer

ImpetusIT; California (MO); On-site; USD 60,000 - 70,000; Full time

Job summary

ImpetusIT, on behalf of its manufacturing client, is seeking a machine learning engineer to design, train and fine-tune large language models for real-world applications. The role focuses on prompt engineering, model customization and ethical, scalable deployment in cloud environments.

You will work with cross-functional teams, preprocess large datasets and apply Python, PyTorch and Hugging Face to deliver practical AI solutions. Direct applicants only; no C2C, and salary is $60‑70k per year.

Qualifications

• Experience designing and training ML models for NLP tasks.
• Strong background in DL and NLP.
• Ability to engineer prompts and customize models for production.

Responsibilities

• Design, train, and fine-tune Large Language Models (LLMs) for applications.
• Leverage prompt engineering and model customization to improve outputs.
• Deploy, monitor, and optimize AI models in cloud environments.
• Collaborate with cross-functional teams to integrate AI into real projects.
• Preprocess and analyze large datasets for AI-driven insights.
• Demonstrate hands-on experience with LLMs (GPT, Llama, PaLM).
• Proficiency in Python, PyTorch, and Hugging Face libraries.

Skills

Machine Learning

Natural Language Processing

Prompt engineering

Tools

Python

PyTorch

Hugging Face

Job description

One of our staffing partners is looking for its Manufacturing client a machine learning 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
• Leverage prompt engineering and model customization to enhance AI outputs
• Deploy, monitor, and optimize AI models in cloud environments
• Collaborate with cross-functional teams to integrate AI into real-world applications
• Analyze and preprocess massive datasets for AI-driven insights
• Strong background in Machine Learning, Deep Learning, and NLP
• Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
• Proficiency in Python, PyTorch, and Hugging Face libraries