Machine Learning Engineer

Hobart FULL TIME $90,000 - $120,000 / Year
($7,500 - $10,000 / Month)

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will design and implement robust machine learning models that transform complex datasets into actionable insights. This position offers an exciting opportunity to work with state-of-the-art technologies in an innovative and supportive environment. You will be responsible for the entire model lifecycle, from data preprocessing to model training and evaluation, making a significant impact on the future direction of our AI initiatives.

Responsibilities

  • Conduct exploratory data analysis to inform machine learning strategies.
  • Train and evaluate machine learning models using large datasets.
  • Collaborate with product managers to define project goals and deliverables.
  • Create visualisations to communicate findings to stakeholders.
  • Participate in training and mentoring junior data science team members.
  • Drive continuous improvement in data-driven decision-making processes.

Requirements

Education
  • Bachelor's degree in Computer Science or a related technical field
  • Master's degree in Data Science or a related field is advantageous
Experience
  • 3+ years of hands-on experience in machine learning projects
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Team Collaboration
  • Problem Solving
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with reinforcement learning: Hands-on experience in applying reinforcement learning techniques.
  • Knowledge of cloud platforms: Familiarity with deploying machine learning models on AWS or Azure.

Benefits

  • Comprehensive health, vision, and dental coverage
  • Generous parental leave policies
  • Company-sponsored training and certifications
  • Fun and engaging team-building activities

Company Culture

  • Diversity and Inclusion: Diversity is integral to our business and we are committed to creating an inclusive workspace.
  • Work-Life Balance: We support our employees' work-life balance by promoting flexibility and wellbeing.
Status: Closed