Senior AI Engineer

4 weeks ago


London, Greater London, United Kingdom SmartAssets Full time

Job Title: Senior AI Engineer - AI Platform Development

About SmartAssets:

We are a dynamic team at SmartAssets, and we're looking for an experienced Senior AI Engineer to join us. As a key member of our team, you will play a pivotal role in developing and optimizing AI-driven features, guiding junior engineers, and ensuring the robustness and scalability of our AI solutions.

Key Responsibilities:

  • Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows.
  • Collaborate with cross-functional teams to integrate AI technologies with other system components.
  • Ensure the scalability, efficiency, and robustness of AI solutions.
  • Oversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologies.
  • Conduct and participate in code and design reviews to uphold high-quality standards.
  • Mentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment.
  • Drive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights.

Requirements:

  • Extensive experience with version control tools, preferably Git.
  • Proficiency in Docker and container orchestration.
  • Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of algorithms, data structures, and software engineering principles.
  • Experience in deploying AI models in a production environment.
  • Proven ability to collaborate effectively with cross-functional teams and manage project timelines.
  • Exceptional problem-solving skills and meticulous attention to detail.
  • Deep understanding of data science fundamentals and experience with statistical analysis.
  • Demonstrated experience in leading and mentoring technical teams.

Preferred Skills:

  • Experience with cloud computing platforms (GCP) and their AI services.
  • Familiarity with front-end technologies for AI-driven application development.
  • Advanced understanding of data engineering and the ability to work with large datasets.

Education:

  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.

Experience:

  • Extensive experience in applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcamps.
  • Demonstrated leadership experience in AI and machine learning projects.


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