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Cisco Principal AI/ML Engineer Security AI 
United States, California, San Jose 
712084314

10.06.2024
What You Will Do
  • Lead with technical and industry vision and act as a key contributor for our team strategy in the fields of AI and Data Science.
  • Define and design AI-based solutions, evaluate technical feasibility and provide estimates on efforts and risks.
  • Drive prototypes and MVP architecture and development to deliver innovative features services which are consistent, maintainable, and highly scalable.
  • Collaborate with multi-functional teams, including data scientists, software developers, product managers, and business stakeholders to define and achieve strategic objectives.
  • Mentor and guide a team of AI engineers and data scientists, fostering an environment of technical excellence and continuous learning.
  • Stay abreast of the latest developments in AI and ML and evaluate the potential impact of new technologies on our products and services.
  • Drive the adoption of standard processes in coding, testing, documentation, and maintainability.
  • Ensure the ethical use of AI, focusing on fairness, privacy, security, and transparency.
  • Communicate complex AI concepts to non-technical audiences and provide thought leadership within the company and at industry events.
  • Contribute to the creation of intellectual property through patents, publications, and presentations.
Minimum Qualifications
  • Minimum of 15 years of Software Engineering experience to include serving in the capacity of Director/CTO/Chief-Architect position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and different data modalities.
  • Minimum of 7 years of experience using programming languages such as Python, Java or C++ and familiarity with AI frameworks like Tensorflow, PyTorch or Keras
  • Minimum of 5 years of experience focused on developing, training and deploying AI models in real-world applications to include machine learning algorithms, deep learning architectures, and the underlying mathematical principles.
  • Minimum of 5 years of experience with cloud computing platforms (AWS, Azure, Google Cloud) and ML deployment strategies.
Preferred Qualifications
  • Understanding and hands on experience in Large Language Models, Natural Language Processing, Computer vision, Image Processing, and other generative AI techniques.
  • Proven experience owning the development of AI-based products or systems.
  • Strong analytical and problem-solving skills, with the ability to address complex issues.
  • Excellent leadership and communication skills.
  • Experience with building DataOps/MLOps workflows, infrastructure and tooling.
  • Familiarity with Agile development methodologies and DevOps practices.
  • Ability to coach/mentor other engineers and especially early in their career
  • Ability to constantly identify, follow and learn innovative technologies, work in a fast-paced, team-focused environment.