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ML Engineer
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Compunnel, Inc.
Westlake, TX (In Person)
Full-Time
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Job Description
JOB SUMMARY
The Workplace Investing AI Delivery Engineering Chapter team is looking for a Machine Learning / Gen AI engineer to design, implement, and improve technical solutions for Gen AI applications. This includes RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development. The role focuses on building AWS-based Gen AI solutions. Key Responsibilities- Design, implement, and improve technical solutions for Gen AI applications.
- Develop solutions involving RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development.
- Build AWS-based Gen AI solutions.
- Design and develop machine learning and deep learning systems using appropriate ML algorithms and frameworks.
- Build feature engineering pipelines.
- Deploy AI models and optimize model inference.
- Develop Python-based APIs.
- Work with data to create models and perform statistical analysis.
- Train and retrain models to optimize performance.
- Run machine learning tests and experiments.
- Deploy models in Sagemaker.
- Set up EC2/EKS compute.
- Perform deep data analysis on multiple database platforms. Required Qualifications
- 5+ years of hands-on development experience in Machine Learning Systems.
- Experience working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering, and Fine tuning.
- Strong programming skills in Python and Java.
- Solid experience developing Python-based APIs (FastAPI / Flask).
- Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
- 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 for model deployment (Sagemaker) and cloud-based data hosting (Snowflake or RDS).
- Superior SQL skills.
- Bachelor's Degree or equivalent experience. Preferred Qualifications
- Experience with search engine platforms like Apache SOLR, Elastic Search, or OpenSearch. Certifications
- None specified.