Machine Learning Engineer

Industry: Artificial Intelligence
Remote
Company size: 1-10
Full-time/Part-time

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Job description

An innovative US-based start-up specializing in leveraging the latest advancements in machine learning, large language models, and AI to enhance productivity within the workplace is looking for a skilled Machine Learning Engineer. The company has positioned itself at the nexus of cutting-edge technology and pragmatic business solutions. It is dedicated to constructing an avant-garde AI platform that empowers executives and employees alike, significantly enhancing efficiency and decision-making processes.  As an ideal candidate, you will be enthusiastic about tackling complex data challenges, pushing the boundaries of technology, and willing to dive into the development of unique techniques for AI-assisted work, being instrumental in pioneering the design, development, and deployment of advanced large language models. If you have a keen interest in AI and its potential to redefine professional ecosystems, this role offers an unparalleled opportunity to be at the forefront of AI research and implementation, contributing greatly to the evolution of smart workflow solutions with a global impact.


Job Responsibilities:

  • Design, develop, and deploy scalable large language models tailored for AI-assisted work applications.
  • Partner with cross-function teams, including data engineers and backend developers, to integrate machine learning algorithms into a robust platform.
  • Utilize advanced machine learning and data modeling techniques to innovate scalable solutions for complex business challenges.
  • Engage in continuous research and adoption of industry best practices to enhance the machine learning infrastructure.
  • Contribute to the development and refinement of prompt engineering methods and novel AI-assisted techniques.


    Job Requirements:
  • A Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • A minimum of 5 years of professional experience as a Machine Learning Engineer, with a proven track record of developing and implementing ML algorithms.
  • A minimum of 5 years of expertise working with Python, demonstrating a robust command of the language in a machine learning context.
  • Proficient experience with machine learning frameworks, specifically TensorFlow and/or PyTorch, is essential.
  • Experience with Natural Language Processing (NLP) is nice to have and will set candidates apart.
  • A strong foundation in algorithmic design, data structures, and performance optimization, with the ability to solve complex problems efficiently.
  • The capacity to thrive in a fast-paced, dynamic startup environment, learning quickly, and adapting to evolving project demands.
  • English proficiency, both in verbal and written form, is necessary for effective collaboration and communication within a diverse and global team.

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