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Senior Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Experience in machine learning and engineering, Proficiency in delivering forecasts and optimisations.

Key responsabilities:

  • Design and implement scalable ML software
  • Engage in innovative, experimental initiatives
  • Craft new ML products and refine existing ones
  • Integrate data within Sympower software ecosystem
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Sympower Information Technology & Services Scaleup https://www.sympower.net/
51 - 200 Employees
See more Sympower offers

Job description

The position

The Sympower data team is dedicated to delivering forecasting and optimisation services, self-service data capabilities and business intelligence (BI) dashboards. We collaborate closely with other Engineering Teams to seamlessly integrate data within the broader Sympower software ecosystem.


As a Senior Machine Engineer at Sympower, your primary focus will be to deliver insightful forecasts and optimisations to stakeholders, leveraging your comprehensive skill set in machine learning and engineering. The role involves designing and fully implementing scalable, reusable machine learning software, and data pipelines for specific projects. It also entails engaging in innovative, experimental initiatives, and embracing an iterative approach to develop and test new ideas for the benefit of the stakeholders.


While we have established foundational machine learning services and a data platform, we are now eagerly seeking a skilled professional to expand and fine-tune our forecasting and optimisation services. Your role will involve crafting new machine learning products and refining existing ones, ensuring the consistent enhancement and robustness of our capabilities at Sympower.


What is in it for you

We are committed to creating an inclusive, values-based culture where everyone feels that they belong and has the opportunity to do meaningful work. We offer a market competitive compensation package, including but not limited to:

  • 30 Days Paid Holiday Leave

  • 1 Day Paid Wellness Leave

  • 1 Day Paid Birthday Leave

  • Paid Maternity and Partner Leave

  • Pawternity Leave

  • Mental Health and Wellbeing Support

  • Remote Office Budget

  • Internet Allowance

  • Development Plan & Budget

  • Stock Appreciation Rights

  • 2 Days Paid Volunteer Leave

Learn about all of our benefits on our careers page.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Forecasting
  • Problem Solving
  • Collaboration
  • Creative Thinking
  • Analytical Thinking

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