Machine Learning Engineer (ML Engineer) Day 1 Onsite Austin, TX Hybrid – 3 days onsite and 2 days remote (Mandatory) Long term contract Direct client opportunity No mid layer / No Implementation partners are Involved Roles and Responsibility: - 4+ years of experience in ML/NLP with a focus on large language models and text data with Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, FAISS). - Strong programming skills in Python, including popular ML/NLP libraries (e.g., Hugging Face Transformers, PyTorch, LangChain). - Experience with LLM customization and fine-tuning (e.g., on GPT, LLAMA, Mistral, Mixtral) and Hands-on experience with Ollama or similar tools for local/custom model deployment. - Proven ability to optimize model performance for production environments. - Solid understanding of REST APIs, application development, and software engineering best practices. Required Skills:- Rest API – Is required – 2-5 Years Jupyter – Is required – 2-5 Years Python – Is required – 2-5 Years PyTorch – Is required – 2-5 Years Machine Learning – Is required – 2-5 Years Education B.S. Computer Science / Information Technology / Computer Engineering / Machine Learning, Artificial Intelligence or a related field. Pay Range: $60/hr - $65/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, and vision as well as 401K contributions.