Description:
We are on the lookout for a Machine Learning Engineer to join an ambitious team in Dublin.
The objective of this company is to grow even more prominent in their industry through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Large Language Models and Deploying complex ML Models.
You will also be tasked to lead large-scale products and technically lead ML/Data professionals.
The Role:
As a Machine Learning Engineer:
- You will identify opportunities where machine learning can deliver value to customers.
- You will collaborate on framing product problems with the right machine-learning approach.
- You will work closely with teammates and stakeholders in Product and Design.
- You will work on LLM models regularly (Developing/Deploying and Maintaining the models).
- Transition algorithms from offline prototypes to production-ready solutions.
- You will manage and improve our production ML infrastructure over time.
- Develop new data infrastructure to support exploration and innovation.
- Establish processes for large-scale data analysis, model development, validation, and deployment.
- Collaborate with teammates to evaluate and enhance algorithm performance.
- Partner closely with the team and other departments to develop outstanding ML products.
YOUR SKILLS AND EXPERIENCE:
- You need to have a MSc or PhD level in STEM subject.
- You must have proven knowledge of the implementation of Machine Learning models/LLM Models.
- MLOPs/DevOps experience in CI/CD.
- Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.
- Experience using Python is a must (tools like AWS and Spark are beneficial)
- Excellent communication skills and team and colleague engagement.
- Expertise in large-scale computation.
- Experience in a research environment.
- Experience in LLMs/(Langchain).
- A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems.