AI/ML Engineer

Job Title: AI/ML Engineer
Location: Austin, TX (Hybrid 3 Days Onsite, 2 Days Remote)
Duration: 12 Months
Rate: $60 Positions
ClientOpen: 1
Domain: Direct Client

Job Description
We are seeking an experienced AI/ML Engineer to join our client's team in Austin, TX. The ideal candidate will bring strong expertise in data science, data engineering, and machine learning with hands-on experience in LLM fine-tuning, GenAI, and agentic AI/multi-agent systems. The role requires proficiency in Python, AWS, and deep learning frameworks, with a proven track record of working in Agile/Scrum environments to deliver scalable AI-driven solutions.

Key Responsibilities
Design, develop, and implement AI/ML models and pipelines leveraging Python and AWS.
Work on GenAI and LLM fine-tuning, including multi-agent and agentic AI frameworks.
Collaborate with data scientists and data engineers to ensure scalable and optimized solutions.
Integrate AI/ML models into production environments, ensuring reliability and performance.
Partner with cross-functional teams in Agile/Scrum workflows to deliver iterative solutions.
Perform data preprocessing, feature engineering, and large-scale data handling.
Research and apply deep learning techniques to enhance model accuracy and efficiency.
Stay current with advancements in AI, GenAI, and multi-agent systems to drive innovation.

Required Skills & Qualifications
5 10 years of experience in Data Engineering, Data Science, and Machine Learning.
Strong programming expertise in Python (5 10 years).
Experience with AWS services (at least 1 year).
Hands-on experience with GenAI, LLM fine-tuning, agentic AI, and multi-agent systems (at least 1 year each).
Deep Learning experience (2 5 years).
Strong analytical thinking and problem-solving skills (5 10 years).
Experience working in Agile/Scrum methodologies (at least 1 year).
Excellent communication skills and creative thinking (nice to have).