Cisco Principal AI/ML Engineer Security AI 

United States, Georgia, Atlanta 

700216669

The application window is expected to close on November 15th, 2024.

• 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.
• 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.
  

• Bachelor's degree with 15+ years (or) Master's degree with 12+ years (or) PhD with 8+ years of experience in software engineering to include serving in the capacity of Director/CTO/Chief/Principal Engineer position for AI/ML solutions.
• 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 using ML libraries and frameworks such as Tensorflow, PyTorch or Keras.
• Minimum of 5 years of experience with cloud computing platforms (AWS, Azure, Google Cloud) and ML deployment strategies.

• 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.