Chief Machine Learning Architect

4 weeks ago


London, Greater London, United Kingdom Intelmatix Full time
About Intelmatix

Intelmatix is a pioneering deep-tech AI company, established by a cohort of MIT technologists. We have a robust global presence with offices strategically located in Riyadh, London, and Boston, facilitating international operations and diverse collaborations with businesses worldwide.

Job Overview

We are seeking a Senior Data Scientist / Senior Machine Learning Scientist to lead our team in developing innovative machine learning models and algorithms to address complex business challenges.

Key Responsibilities:
  • Develop and deploy machine learning models and algorithms to drive business growth.
  • Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modeling.
  • Innovate new modeling and machine learning approaches to enhance existing processes and capabilities.
  • Collaborate with cross-functional teams to define problem statements, scope projects, and deliver analytics solutions.
  • Mentor peers in data science and model development, promoting best practices.
Requirements

To succeed in this role, you will need:

Qualifications:
  • Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering.
  • At least 3 years of experience in data science, with strong proficiency in writing scale and production-grade code in Python.
  • Solid understanding and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL.
  • Experience with cloud services (such as AWS) and tools for machine learning projects.
Preferred Qualifications:
  • A Master's or higher in a relevant field to deepen theoretical knowledge and practical skills.
  • Experience with AWS or other cloud technologies for model training and deployment.
What We Offer

At Intelmatix, we offer a competitive salary range of $140,000 - $200,000 per year, depending on experience, as well as a comprehensive benefits package that includes medical insurance, salary advance for housing costs, role-related training support, children's school allowance, relocation support, travel tickets, wellness programs, pension contributions, and an in-office snacks pantry.



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