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Bengaluru

    Principal Engineer - bangalore, India - Cisco

    Cisco
    cisco background
    Description

    Who We Are

    The Cisco Security AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making businesses secure and simplifying security with zero compromise using AI and Machine Learning.

    Who You Are

    As a Principal Engineer within the Cisco Security AI team, you will be at the forefront of artificial intelligence, machine learning, and deep learning research and development. You will play a critical role in designing, implementing, and evolving our AI platforms and products. Your expertise will drive innovation and maintain our competitive edge in the market. We are looking for a passionate and hands-on AI/Data Science Principal Engineer to join us on the sprint that takes us from ideas to prototypes, and from prototypes to Products. As a director-level leader and individual contributor, you will be an integral part of the AI team, joining us at an early stage of the journey and responsible for leading the ideation, design, development and testing phases of new products. As a subject matter expert in this domain, you have a proven track records with strong technology experience, business acumen and a good level of visibility and recognition in the industry (including for example patents, publication/blogs, open-source contributions, conference speaker, academic collaboration, active role in industry consortium...). The right candidate thrives in multifaceted environments and can be counted on when the going gets tough. The ideal candidate is also an outstanding communicator who can pitch solutions for complex problems in a simple and articulated way, adjusting communication style to the audience (Customers, Exec, Business, Technical, UX ...). This role is critical to the development of our team and our new ventures.

    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 · Lead the design and development of advanced AI systems that address key business challenges and opportunities. · 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 cross-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 a culture of technical excellence and continuous learning. · Stay abreast of the latest developments in AI and machine learning and evaluate the potential impact of new technologies on our products and services. · Drive the adoption of best practices in coding, testing, documentation, and maintainability. · Develop scalable and robust infrastructure to support machine learning models from development through to deployment and monitoring. · 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.

    Qualifications

    · Minimum of 10 years of experience as an Engineering Director/CTO/Chief-Architect position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and with different data modalities, software development, with a significant portion dedicated to AI and machine learning. · Proven track record of leading the development of AI-based products or systems. · Deep understanding of machine learning algorithms, deep learning architectures, and the underlying mathematical principles. · Proficiency in programming languages such as Python, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, or Keras. · Experience with cloud computing platforms (AWS, Azure, Google Cloud) and machine learning deployment strategies. · Strong analytical and problem-solving skills, with the ability to tackle complex issues. · Excellent leadership and communication skills, with the ability to mentor and lead teams. · Experience with the creation of DataOps/MLOps workflow, 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 cutting-edge technologies, work in a fast-paced, team-driven environment.

    Preferred Qualifications

    A PhD or MS degree in Computer Science, Artificial Intelligence, Machine Learning / Mathematics / Data Science or equivalent work experience in a field utilizing the same subject matter


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