Cisco Principal AI/ML Engineer Security AI 

United States, California, San Jose 

712084314

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 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.

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.