Posted: 14 December
Offer description
Transform your career by harnessing the power of cutting-edge AI and machine learning technologies. As a key player in our engineering hub, you will design, implement, and deploy innovative models that drive business impact.
Job Responsibilities
We are seeking an experienced Machine Learning Engineer to join our team in Dublin. Your primary responsibilities will include:
* Designing and implementing machine learning models in collaboration with scientists, ensuring alignment with global technology standards and compliance requirements.
* Fine-tuning models for optimal performance and efficiency, addressing any issues that arise.
* Working closely with data scientists, software engineers, and product teams to integrate machine learning solutions into existing systems and workflows.
* Continuously monitoring model performance, making necessary adjustments to maintain and improve accuracy and efficiency.
Required Skills and Qualifications
To succeed in this role, you must possess the following skills and qualifications:
* Proficiency in Python.
* Experience with one or more of the following: PyTorch, MLFlow, TensorFlow, or Scikit-learn.
* Strong understanding of software engineering principles and practices, including version control, testing, and code optimization.
* Skills in data preprocessing, feature engineering, and building data pipelines.
* Experience with Apache Spark, particularly PySpark.
* Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models.
Benefits
As a valued member of our team, you can expect:
* A collaborative and supportive work environment.
* Ongoing training and development opportunities.
* Access to the latest tools and technologies.
* A comprehensive benefits package.
About Us
At J.P. Morgan, we recognize that our people are our greatest strength. We strive to build long-term partnerships with our clients, providing them with tailored solutions to achieve their goals. Our commitment to diversity and inclusion drives everything we do, and we are proud to be an equal opportunity employer.
