Senior Machine Learning Architect

4 days ago


Bengaluru, Karnataka, India Smiths Detection Full time

At Smiths Detection, we are seeking an experienced Senior Data Scientist to join our team. This role offers a unique opportunity to contribute to the development of our innovative global security platform and applications.

About Us

Smiths Detection is a world-leader in the provision of detection solutions to governments, businesses, and individuals worldwide. Our digital platform transforms the way government agencies and organizations secure and manage their ports, airports, infrastructure, and border checkpoints.

Your Role

The successful candidate will be responsible for designing and developing machine learning systems to enhance our platform's capabilities. You will work closely with our sales, product, and technology teams to deliver successful pursuit outcomes and grow customer engagement.

Key Responsibilities:

  • Design and develop machine learning systems to drive business outcomes
  • Research and implement appropriate ML algorithms and tools
  • Collaborate with engineering and product development teams to integrate ML solutions
  • Analyze complex data sets to identify trends and insights
  • Develop and maintain robust code using Python, Java, and R
  • Stay up-to-date with the latest developments in AI and ML

Qualifications

To be successful in this role, you will need:

  • A minimum of 10 years of experience in data science, with at least 7 years using AI/ML/DL algorithms and techniques
  • A Bachelor's degree in Electrical/Electronics Engineering and/or Computer Science, or equivalent
  • Proven experience as a Machine Learning Engineer or similar role
  • Deep knowledge of math, probability, statistics, and algorithms
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

Salary Range

This role comes with a competitive salary range of £80,000 - £110,000 per annum, depending on experience.

Benefits

We offer a comprehensive benefits package, including:

  • A dynamic and inclusive work environment
  • Ongoing training and development opportunities
  • A flexible benefits scheme, allowing you to choose from a range of options
  • A generous pension scheme

Location

This role is based in the UK, with regular travel to our international offices.



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