Machine Learning / Gen AI Engineer

Cpl Group; Dublin; On-site; EUR 111,000 - 221,000; Full time

Job summary

Global investment firm in Dublin seeks a Machine Learning / Gen AI Engineer to design, implement and enhance Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, and API development. Strong analytics, Python/Java coding, and experience with AWS services are required to build secure data pipelines and hosting for AI models.

Key duties include deploying models on SageMaker, integrating Snowflake or RDS for analytics data hosting, and developing Python-based APIs using FastAPI or Flask.

Qualifications

• 3 to 5 years hands on development experience in Machine Learning System.
• Experience with Gen AI solutions with LLMs, LangChain, LangSmith, LlamaIndex, Prompt Engineering and Fine tuning.
• Strong programming skills in Python, Java.
• Solid experience with developing python-based APIs (FastAPI/Flask).
• Experience building feature engineering pipelines, deploying AI models, and optimizing model inference.
• Design and develop ML/DL systems using appropriate ML algorithms/frameworks.
• Experience with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and IaC (Terraform, Python, Ansible, CFT).
• Demonstrated work experience using AWS services: SageMaker deployment, Snowflake or RDS hosting for analytics, EC2/EKS setup.
• Work with data to create models and perform statistical analysis, train/retrain models to optimize performance.
• Run ML tests and experiments.
• Experience with search platforms like Apache SOLR, Elastic Search or OpenSearch is a plus.
• Superior SQL skills and experience with deep data analysis on multiple DB platforms.
• Bachelor’s Degree or equivalent experience.

Responsibilities

• Design, implement and improve Gen AI solutions including RAG, Prompt Engineering, and Fine Tuning.
• Develop APIs and data pipelines for hosting and deployment of ML models.
• Work with AWS services and cloud-based data platforms for analytics and hosting.
• Collaborate with data teams to train and retrain models to optimize performance.
• Evaluate and iterate on ML models and experimental results.

Skills

Python programming

Java programming

SQL

Education

Bachelor’s Degree or equivalent

Tools

FastAPI / Flask

Terraform

Airflow

SageMaker

Snowflake

PostgreSQL

EC2/EKS

Job description

• 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.