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Python Machine Learning Developer

Storylines

Python Machine Learning Developer

Miami, FL
Full Time
Paid
  • Responsibilities

    We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

    To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

    DUTIES AND RESPONSIBILITIES

    • Consulting with managers to determine and refine machine learning objectives.

    • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

    • Transforming data science prototypes and applying appropriate ML algorithms and tools.

    • Ensuring that algorithms generate accurate user recommendations.

    • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

    • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

    • Developing ML algorithms to analyze huge volumes of historical data to make predictions.

    • Running tests, performing statistical analysis, and interpreting test results.

    • Documenting machine learning processes.

    • Keeping abreast of developments in machine learning.

    ABOUT YOU 

    • Bachelor's degree in computer science, data science, mathematics, or a related field.

    • Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

    • At least two years' experience as a machine learning engineer.

    • Advanced proficiency with Python, Java, and R code writing.

    • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

    • In-depth knowledge of mathematics, statistics, and algorithms.

    • Superb analytical and problem-solving abilities.

    • Great communication and collaboration skills.

    • Excellent time management and organizational abilities.

    ABOUT THE COMPANY

    Storylines Global Inc. is an all-inclusive, sustainable luxury residential cruise ship. Work with one of the world's only residential ships. We focus on career development and promotion - people are the core of everything we do. If you are looking for a career and not just a job, you're in the right place! The opportunity of a lifetime awaits.

    WHAT'S IN IT FOR YOU?

    We offer a structured induction program - Storylines Academy. This exclusive bespoke induction trains on all aspects of the company, the vital tools that you will utilize which you will need to succeed in your role with a follow-up ongoing nesting period provided during your first month. 

    BENEFITS

    • Opportunity to work remotely.

    • A knowledgeable, high-achieving, experienced and fun team.

    • An international and diverse work atmosphere.

    • The chance to be part of a rapidly growing startup and the next success story.

    • Amazing opportunities for career progression

    • A competitive compensation package

    • Team incentives and reward schemes

    For information on Storylines Global Inc., including more information on our current job openings, visit our website at www.storylines.com/careers.

    All applicants will receive an acknowledgment that their application has been received within 2 to 3 business days from the receipt of the application. Those candidates selected for further consideration will be contacted within 2 days before the closing date.

    Storylines Global Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.