CPLAbout this role
Dublin
Long Term Contract
Daily Rat
Global investment firm based in Dublin is looking to hire Machine Learning / Gen AI Engineer to design, implement and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development. We are looking for an outspoken technologist with a deep passion for data and application design to help build AWS based Gen AI solutions.
The Expertise and Skills You Bring
3 to 5 years hands on development experience in Machine Learning System.
Experience with working on Gen AI solutions with Large Language Models, LangChain, LangSmith, 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).
Demonstrated 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.
Superior SQL skills and experience performing deep data analysis on multiple database platforms.
Bachelor’s Degree or equivalent experience.
To apply or find out more please reach out to 
or 01-947 6301
#LI-SO3
#CplTechnology22
Company:
CPL
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying