Senior Machine Learning Engineer

pythonsqltensorflow
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Boost.ai is a software company and developer of the world’s most scalable conversational AI platform for enterprises. We specialize in building automated interactions for chat and voice designed to improve customer service and internal support channels.Since our beginnings in 2016, we have gone global with about 130 employees spanning multiple countries. We are headquartered in Stavanger, Norway, with offices in Oslo, Stockholm, Copenhagen, Helsinki, London, and Los Angeles.Our list of accomplishments to date includes:
  • Launching more than 500 virtual agents in EMEA and North America that automate millions of interactions every year.
  • Recognition by Gartner in their Magic Quadrant for Enterprise Conversational AI Platforms.
  • Establishing partnerships with leading firms like Deloitte, Accenture, KPMG, and more.
  • Achieving ISO 27001 & 27701 certification.
The boost.ai platform is trusted by brands and organizations like Santander, Telenor, DNB, Nordea, and many others to help create dynamic and engaging automated experiences, with a focus on delivering superior customer service, boosting sales, and streamlining business operations.We firmly believe that the success of boost.ai is attributed to our brilliant and dedicated team of individuals who challenge the status quo and take initiative, embodying our people philosophy of rewarding attention, responsibility, and trust. We have a strong and clear commitment to equality, diversity, and inclusion. It is our policy that all eligible persons shall have equal opportunity for employment and advancement in the company on the basis of their ability, qualifications, and aptitude for the work. We welcome all qualified candidates to apply for this position regardless of gender, gender identity, religious beliefs, sexual orientation, age, or disability.Our employees are encouraged to explore new ideas and are provided with the support and resources to thrive, nurturing, guiding, and challenging them to reach their full potential. Together, with our tech and talent, we are committed to making the world a little easier to live in, creating innovative solutions that positively impact our industry.

About the role:

We are seeking a talented Machine Learning Engineer with a strong background in Python, Natural Language Processing and SQL. The ideal candidate will have experience with deep learning and torch/tensorflow as well as experience working with large language models (LLMs).

Responsibilities:

  • Integrate machine learning models for natural language understanding into the platform, including LLMs.
  • Work on general backend engineering tasks to make models and predictions interpretable in the Platform UI.
  • Monitor and ensure the efficient operation of our solutions, and perform bug fixes and updates as necessary.
  • Collaborate with cross-functional teams to understand their needs and deliver AI solutions.
  • Continuously learn and stay updated with the latest advancements in AI and machine learning.

Please feel free to apply even if you do not tick all the boxes.

Skills, Qualifications & Competencies :

  • Strong software engineering skills
  • Strong Python skills
  • Strong SQL skills
  • Experience with natural language processing and machine learning
  • Experience with using LLMs
  • Demonstrates exceptional ownership, taking full responsibility for assigned tasks, product quality, and deadlines.
  • Displays proactive behaviour, with the ability to independently identify areas of improvement.

What’s in it for you?

  • An engaging work environment with people who share a common mindset; to deliver a world-class product in a brand-new, up-and-coming industry.
  • Challenging, varied, and engaging work tasks.
  • Room and encouragement to be independent and innovative.
  • In-house gym and other benefits.

Sounds good?

Please submit your application using the appropriate form - we’re looking forward to hearing from you and what you can bring to our company!

Please note:

  • During the recruitment process, we interview the appropriate candidates quickly and continuously - until we find the right candidate. We recommend that you submit your application as soon as possible.
  • The position requires being able to work on-premise in Stavanger or Oslo, Norway.