Cisco Principal Engineer 

India, Karnataka, Bengaluru 

832985901

Who You Are

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