Overview
On Site
Accepts corp to corp applications
Skills
python
aws
Gen AI
LLM Fine Tuning
Agile/Scrum Frameworks
Job Details
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).
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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.