Degree in Artificial intelligence- AI
Aartificial intelligence, BERT, ChatGPT, Data science techniques, Effective communication skills, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scikit-learn, TensorFlow
You’ll join a small, high-caliber team of machine learning specialists, large scale systems experts, NLP, ASR and computer vision experts, product gurus, customer advocates, and world-class designers who are passionate about the future brought by AI. We move fast, continuously improve, and deliver high-impact results. We’re not only aiming to build AI applications; we strive to build the best applications of AI the world has ever seen.
We have a team of world-class product managers, designers, and engineers who are exceptionally hard-working and all low. Many of our engineers have founded their own startups prior to forming Collaboration AI, and they bring a wide and diverse set of industry experience and expertise with them. We draw on this well of experiences every day as we collaborate on our own product, tech stack, and go to market strategy. We have a strong “eat our own dogfood” culture. We live and breathe Webex every day because we use the platform every day. We're highly collaborative, committed to building great things, and consider it a privilege to learn from each other every day.
What You’ll Do
As a senior technical leader on our machine learning team, you'll be responsible for end-to-end research, prototyping, development and deployment of ML-based cloud services that power intelligent features in products like the Webex Suite, the Webex Contact Center and others. While you will have an opportunity to contribute to ML efforts across several application domains, this role is particularly focused on accelerating the development and deployment of natural language processing (NLP) models. As a senior member of the team, you will be expected to lead large cross-team efforts, lead the overall architecture design of our AI systems, and provide technical supervision and mentorship to other ML engineers on the team.
Responsibilities
Who You Are
Basic Qualifications
Preferred Qualifications
Why Cisco?
WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you!
Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service connect with patients and each other; schools, colleges, and universities to teach in even the most demanding times. We are helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise.
We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).
We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
Cisco Systems, Inc., is a leading American multinational conglomerate specializing in digital communications technology. Headquartered in San Jose, California, the corporation engages in the development, manufacturing, and sale of networking hardware, software, telecommunications equipment, and various high-technology services and products.
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
4-6 year