Match score not available

Senior Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Key responsabilities:

  • Lead development of advanced models
  • Craft production-ready code, design systems
  • Apply scientific methodologies to solve problems
  • Ensure machine learning projects align with goals
  • Harness machine learning for process optimization
Trafilea Tech E-commerce Group logo
Trafilea Tech E-commerce Group Information Technology & Services Scaleup https://www.trafilea.com/
201 - 500 Employees
See more Trafilea Tech E-commerce Group offers

Job description

About Trafilea

Trafilea is a dynamic and innovative Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors, with a focus on using data-driven strategies to scale their businesses. In addition to our products, we have our own online community dedicated to promoting body positivity. As a rapidly growing global player, Trafilea is committed to creating high-quality products and services that enhance the customer experience and drive long-term growth.
At Trafilea, we foster a culture of collaboration, innovation, and continuous learning. We believe in investing in our people and providing them with the support and development opportunities they need to grow both personally and professionally. With our remote-first approach, you'll have the freedom to work from anywhere in the world, surrounded by a diverse and talented team that spans the globe.


Mission

As a Senior Machine Learning Engineer, you'll lead the development and deployment of advanced models, driving innovation and efficiency across the organization. This role involves crafting production-ready code, designing systems within the overarching architecture, and applying scientific methodologies to solve complex problems. Bridging the gap between business strategy and technical execution, you will ensure that machine learning projects align with company goals, delivering tangible value.

With your expertise, we'll harness the power of machine learning to unlock opportunities, streamline processes, and maintain our position at the forefront of technological advancement.

Required profile

Experience

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

Other Skills

  • Problem Solving
  • Communication
  • Collaboration
  • Innovation

Machine Learning Engineer Related jobs