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Overview

Our client is searching for a seasoned Machine Learning Engineer to design, implement, and improve forecasting solutions within a dynamic tech environment. This role will involve working on advanced machine learning projects with a strong emphasis on time-series data.

Key Responsibilities

Create, optimize, and fine-tune machine learning models focused on time-series forecasting.
Interpret large-scale and intricate datasets to discover significant trends and actionable business insights.
Assess model accuracy and reliability; implement enhancements to boost scalability and performance.
Collaborate with engineering teams to deploy machine learning pipelines into production settings.
Develop processes for continuous model monitoring, retraining, and upkeep.
Communicate technical details clearly to both clients and non-technical stakeholders.
Coordinate with internal teams to ensure machine learning products meet business goals and customer needs.
Contribute to establishing engineering standards, methodologies, and best practices as the team grows.

Required Experience and Skills

At least 3 years working as a Machine Learning Engineer, Data Scientist, or a related role with a focus on time-series forecasting projects.
Solid understanding of machine learning concepts, statistical analysis, and evaluation methodologies.
Proficient in Python programming and familiar with major machine learning libraries.
Skilled at preparing, processing, and analyzing structured data sets.
Experience in deploying and maintaining machine learning models in live production environments.
Excellent communication skills capable of simplifying complex technical outputs for various audiences.
Ability to work both independently and as part of a collaborative technical team.

Preferred Skills

Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of MLOps concepts, including model monitoring and deployment automation.
Familiarity with containerization, orchestration, and infrastructure automation tools.
Experience with computer vision technologies.
Understanding data engineering and scalable pipeline architectures.
Previous involvement in roles requiring direct customer interaction.
Motivation to advance towards leadership or management positions within engineering.

Educational Background

Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related discipline.
Advanced degrees in relevant technical fields are advantageous but not mandatory.

Work Schedule and Benefits

Permanent full-time role based in Dublin, Ireland.
Standard Monday to Friday office hours.
Flexibility for hybrid working arrangements dependent on business needs.
Competitive compensation with benefits package included.
Opportunities for ongoing professional growth and leadership development.
Engagement with cutting-edge machine learning projects and technologies.

Machine Learning Engineer

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