AI Engineering Lead: Spearheading AI Innovation

hace 6 días


Barcelona, Barcelona, España SmartAssets A tiempo completo

At SmartAssets, we're on the cusp of revolutionizing the advertising landscape with cutting-edge AI-driven solutions. As our ideal candidate, you'll take the reins as a Senior AI Engineer and spearhead the development of innovative AI technologies.

About Us:

Incubated within the Stagwell Marketing Cloud, SmartAssets empowers brands to produce high-quality advertising content by providing data-driven insights into creative effectiveness. Leveraging industry-leading tech and privileged access to top agencies, we're shaping the future of advertising.

Our Core Values:

  • Collaboration: We believe diverse expertise delivers unparalleled results. Constructive challenge ensures robust solutions and mutual understanding.
  • Curiosity: We crave data-driven insights to optimize creative performance. Data is key to celebrating excellence in advertising.
  • Commitment: With incredible momentum and backing, we remain dedicated to making SmartAssets a success, focusing on client needs and delivering every day.

Key Responsibilities:

  • Lead the development and deployment of advanced AI models to enhance workflows.
  • Collaborate with cross-functional teams to integrate AI with system components.
  • Ensure scalability, efficiency, and robustness of AI solutions.
  • Oversee maintenance and improvement of existing AI features, adapting to new tech and methodologies.
  • Conduct code and design reviews to uphold quality standards.
  • Mentor junior AI engineers, fostering a collaborative environment.
  • Drive analysis and measurement of ad-hoc studies, 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 libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of algorithms, data structures, and software engineering principles.
  • Experience deploying AI models in production environments.
  • Proven ability to collaborate with cross-functional teams and manage project timelines.
  • Exceptional problem-solving skills and attention to detail.
  • Deep understanding of data science fundamentals and statistical analysis.
  • Demonstrated leadership experience in AI projects.

PREFERRED SKILLS (BONUSES):

  • Experience with cloud computing platforms (GCP) and their AI services.
  • Familiarity with front-end technologies for AI-driven app development.
  • Advanced understanding of data engineering and large dataset management.

Languages:

  • English & Spanish

Education:

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

Experience:

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

We estimate an annual salary of $180,000 - $220,000 for this position, based on national averages and industry standards.


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