ML Engineer

job summary: Superior SQL skills and experience performing deep data analysis on multiple database platforms.

Bachelor's Degree or equivalent experience.

location: Westlake, Texas job type: Contract salary: $71 - 72 per hour work hours: 8am to 5pm education: Bachelors

responsibilities:

• 5+ years hands on development experience in Machine Learning System.
• Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering and Fine tuning.
• Strong programming skills in Python, Java.
• Solid experience with developing python-based APIs required (FastAPI / Flask).
• Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
• Design and develop machine learning and deep learning systems using appropriate ML algorithms / frameworks.
• Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT).
• Proven work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.
• Work with data to create models and perform statistical analysis, train and retrain models to optimize performance.

qualifications: Run machine learning tests and experiments.

Experience with search engine platforms like Apache SOLR, Elastic Search or OpenSearch would be a big plus.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

,

• 5+ years hands on development experience in Machine Learning System.
• Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering and Fine tuning.
• Strong programming skills in Python, Java.
• Solid experience with developing python-based APIs required (FastAPI / Flask).
• Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
• Design and develop machine learning and deep learning systems using appropriate ML algorithms / frameworks.
• Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT).
• Proven work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.
• Work with data to create models and perform statistical analysis, train and retrain models to optimize performance.

Run machine learning tests and experiments. Experience with search engine platforms like Apache SOLR, Elastic Search or OpenSearch would be a big plus.