Machine Learning Engineer

Newcastle FULL TIME $100,000 - $130,000 / Year
($8,333 - $10,833 / Month)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our dynamic team in Newcastle. You will play a crucial role in developing and deploying machine learning models to drive our AI initiatives. The ideal candidate will possess a deep understanding of machine learning algorithms, data analysis, and AI implementation.

Responsibilities

  • Architect and implement high-performance machine learning solutions.
  • Work with big data frameworks to handle large datasets efficiently.
  • Develop code pipelines for the deployment of models.
  • Train and evaluate models to ensure robustness and reliability.
  • Support model deployment and monitor for real-time performance.
  • Conduct peer reviews and provide constructive feedback.

Requirements

Education
  • Bachelor's degree in a related field
  • Master's degree is advantageous
Experience
  • 3+ years of experience in a relevant field
Technical Skills
  • Deep Learning
  • Data Visualization
  • SQL
Soft Skills
  • Critical Thinking
  • Adaptability
Certifications
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data technologies: Familiarity with Hadoop, Spark, or similar platforms for handling vast datasets.
  • Experience in deploying models into production: Hands-on experience in launching and maintaining ML models in a live environment.

Benefits

  • Generous leave policies and work-life balance
  • Health, dental, and vision insurance
  • Employee training programs for career growth
  • Collaborative work environment

Company Culture

  • Diversity and Inclusion: We embrace diversity and strive to create an inclusive environment where everyone feels valued.
  • Work-Life Balance: We respect our employees' time and personal lives, fostering a healthy balance.
  • Community Engagement: We actively participate in community initiatives and encourage employee involvement.
Status: Closed