AI/ML Engineer

My Client has a contract need for an experienced AI/ML Engineer who has solid experience in Gen AI specifically with LLM fine-tune and Agentic AI. These are MUST HAVE.

Candidate must also have solid experience in Data Science, Data Engineering, Machine Learning, Deep Learning, and Python (Numpy, Scikit Learning, Pandas),

Candidate MUST relocate to Austin, TX if hired. This is an onsite hybrid role.

Only submit 1 candidate. Just the best match.

We will need a 3 page resume customized and aligned to this need. Only a strong, relevant, resume will get an interview. Make sure to include full legal name, contact info, rate, a copy of the VISA/EAD and answers to the qualifying questions below.

You MUST be the direct employer.

Job title: AI/ML Engineer (GenAI/LLM fine tune & Agentic AI)

Location: Austin, TX

Duration: 12+ months

Rate: $60/hr to $70/hr C2C DOE

It is critical that the candidate has solid experience in GenAI specifically with LLM fine-tune and Agentic AI.

Skills needed

• Gen AI

• LLM fine-tune

• Agentic AI

• Data Engineering

• Data Science

• Machine Learning

• Deep Learning

• Python

• Multi-Agent

• AWS

• Agile Scrum

• Analytical thinking

• Creative thinking

• Communication skills

• Please provide answers to the qualifying questions below:

• How many yrs of professional exp do you have?

• What is your educational background?

• What certifications do you hold?

• What technical skills are you most proficient in?

• How many yrs of experience as an AI/ML Engineer

• How many yrs of GenAI experience?

• How many yrs of exp in Data Science?

• How many yrs of exp as a Data Engineer?

• How many yrs of Python programming (Not scripting)?

• Using a scale of 1 to 10, rate your Python programming skills

• How many yrs of exp with the following:

• LLM

• LLM Fine Tune

• Agentic AI

• Multi-Agent

• Machine Learning

• Deep Learning

• Pandas

• Numpy

• Scikit Learning

• Unsupervised learning

• Clustering, algorithm collation

• Draw Pattern

• Insight

• Correlation or construct LLM training

• Dataset via Feature engineering

• Data curation from large unstructured dataset

• Clustering

• K-Mean

• FCM (Fuzzy-C Mean)

• Hierarchical

• DBScan (Density-based spatial clustering of application with noise),

• Agglomerative

• AWS

• Agile scrum

• Are you currently working?

• When can you start on a new project?

• What was the reason for leaving your last project?

• What is your hourly rate expectation?

• Where are you located?

• Will you relocate to Austin, TX if hired?

• What is your US legal work status?

• Who is your direct employer?

• When does your VISA/EAD expire?

• Will you have issues taking a Criminal background check?

• Hope to hear back from you soon.