Outshift is about innovation. We look from 12 months out to five years into the future, flexibly working to solve problems instead of fitting into a defined job description. We celebrate learning, and expect our teams to fail fast, challenging assumptions and finding new ways of solving problems. Outshifters enjoy gaining experience across a breadth of technological and business challenges and can expect to shift across products/problems and build new skills regularly.
Your Responsibilities Will Include- Lead a team of applied scientists and drive applied ML initiatives across products.
- Drive the generative AI strategy and lead strategic initiatives to employ the most recent advances in ML/AI including multimodal Large Language models (MLLMs) in a fast-paced, experimental environment and create differentiation.
- Lead development, implementation, and optimization of LLMs & MLLMs, including training, finetuning, and computational optimizations and deliver novel and highly impactful features.
- Work with peer leaders in Outshift and wider Cisco Senior AI practitioners (PE, DE, Fellows) from other business groups to align strategies and collaborate on AI initiatives.
- Conduct research and develop innovative AI models using state-of-the-art techniques that include NLP, CV, timeseries, image, video, audio, and other modalities.
- Mentor applied scientists and holding us to a high standard of technical rigor and excellence in ML.
- Provide guidance to the team on State-of-the-Art techniques and model architectures across generative AI.
Minimum Requirements- PhD in machine learning, computer science, mathematics, statistics, or related quantitative fields and 10+ years of industry experience in deep learning, natural language processing & understanding, reinforcement learning.
- OR
- Masters in machine learning, computer science, mathematics, statistics, or related quantitative fields and 14+ years of industry experience in deep learning, natural language processing & understanding, reinforcement learning.
- 8+ years exp in Java, C++, Python, and other related languages.
- Practical experience in developing, training, deploying, evaluating AI models in real-world applications and knowledge of deep learning frameworks.
- Understanding and hands-on experience in (multimodal) large language models, natural language processing, computer vision, image processing, and generative AI techniques
- Proven track record of verbal and written communication skills.
Preferred Requirements- Depth and breadth in state-of-the-art machine learning technologies like LLMs and MLLMs.
- Highly driven leader that is known to deliver in high growth and highly dynamic environments.
- Be an advocate for creative technical trends. Acknowledged for driving decisions collaboratively, resolving challenges, ensuring follow through.
- Extraordinarily resourceful & rigorous, and can operate successfully among forward-thinking and charismatic people.
- Equally comfortable and capable interacting with technologists as with business executives.
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).