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Machine Learning Engineer

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Degree in engineering or quantitative subject, 3+ years applying ML in business.

Key responsabilities:

  • Identify and prioritize areas for AI/ML applications in Finance, Sales, Operations
  • Develop projects from idea to proof-of-concept
  • Communicate technical requirements to senior leaders and provide practical solutions
  • Work within AI/ML policy frameworks while balancing quick progress and risk
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Quantum by Qgroup Information Technology & Services SME https://www.qbyqgroup.com/
501 - 1000 Employees
See more Quantum by Qgroup offers

Job description

This is a remote position.

Our client currently have an exciting opportunity available for a Machine Learning Engineer to join the Data team.


The role offers a rare opportunity to work directly with the CEO on a wide range of business AI and ML projects. You will identify and help prioritise areas where AI can drive significant, tangible business benefits supporting functions including Finance, Sales, and Operations. You will turn ideas into project plans, technical specifications and personally develop rapid proof-of-concept implementations using your strong technical skillset.


The role will also have the opportunity to consult across the wider business on best practice and other projects, and drive thoughtful adoption of AI/ML.


Duties

• Work directly with the CEO and other senior leaders to identify and prioritise areas where AI and ML can drive significant business benefit, particularly in functions such as Finance, Sales, and Operations

• Build a roadmap for AI/ML in this area

• Develop projects from idea into proof-of-concept working solutions quickly and pragmatically

• Effectively communicate with senior leaders on technical topics, capturing requirements with ease and translating into practical solutions

• Work within established AI/ML policy frameworks, observing appropriate guidelines and balancing quick progress against potential risk



Requirements

Requirements

• Degree in an engineering or quantitative subject

• 3+ years’ experience in applying ML to practical business applications

• Advanced Python skillset, familiar with object-orientation and software development best practice

• Practical experience with LLM fine-tuning, model training, and prompt engineering

• Practical experience applying LLM/generative AI models (GPT-3/4, BERT, LLaMA, Bard, etc.)

• Experience with NLP, particularly text-mining, text-editing, summarisation

• Excellent communication skills, experienced working alongside and presenting to senior leadership


Desirable Skills

• Experience with Dash, Flask or other python web frameworks

• Experience with version control, DevOps, and testing

• Experience with cloud platforms such as AWS, Google Cloud Platform

• Experience in REST API development and model-as-a-service deployment

  • Experience in Computer Vision, Deep Learning, or other AI domains


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills

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