Sr Machine Learning Engineer
at Cisco Systems
San Jose, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 09 Aug, 2024 | Not Specified | 09 May, 2024 | 1 year(s) or above | Image Processing,Benchmarking,Business Value,Software Development,Cisco,Version Control,Python,Addition,C++,Coding Experience,Computer Vision,Technologists,Programming Languages,Keras,Scientists,Natural Language Processing,Design,Fine Tuning,Java | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
WHO WE ARE
Outshift by Cisco is the emerging tech incubation group that explores, identifies, and creates new businesses for Cisco. We are passionate about being at the cutting edge of technology, taking Cisco into new markets and building exciting products that solve tomorrow’s biggest challenges.
Like a startup, we take an entrepreneurial approach to success. We incubate ideas into products that solve critical needs, then deliver an experience that delights users and customers from MVP to full-blown commercial offering.
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.
We’re building the next wave of startup-like innovation with the support of a trusted name like Cisco. Where else will you get to do this? Come create with us.
Learn more about us at outshift.com
MINIMUM QUALIFICATIONS:
- Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 years of related experience.
- Proven experience programming languages commonly used in AI and ML development such as Python, Java, or C++.
- Demonstrated coding experience in developing and delivering complex, distributed, enterprise class software.
- Documented experience with the infrastructure required for the development and implementation of Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Image Processing, and various generative AI techniques.
- Experience with building and maintaining ML pipelines, including experience with fine-tuning, prompt tuning, benchmarking, and retrieval-augmented generation (RAG).
PREFERRED QUALIFICATIONS:
- Experience with AI and ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
- Understanding of software development best practices, including version control (e.g., Git), continuous integration/continuous deployment (CI/CD), and testing methodologies
- Extraordinarily resourceful & thorough, you can operate successfully among forward-thinking people.
- Equally comfortable and capable interacting with technologists as with business executives.
Responsibilities:
In this role, you will be instrumental in applying and advancing powerful AI technologies within products that deliver real business value. You’ll craft the latest AI-powered user experiences across diverse platforms, working in sync with a dedicated generative AI product management team. This role offers the opportunity to acquire expertise in the most sought-after AI domains, positioning you at the forefront of Cisco’s AI strategies for the coming decade. In addition, you will engage in cross-team collaborations within Cisco, promoting a unified AI strategy throughout the company. Your responsibilities will include:
- Design and develop end-to-end products to enable easy adoption of generative AI for enterprises.
- Collaborate with multi-functional teams including product managers, applied scientists, and other engineers and identify and implement the most effective system design and solutions.
- Design and build services and integrations for ML pipelines for LLM fine-tuning, prompt tuning and engineering, Benchmarking and RAG for various generative AI models.
- Stay up to date with the latest advancements in the field of AI and apply them to develop cutting- edge solutions.
REQUIREMENT SUMMARY
Min:1.0Max:7.0 year(s)
Marketing/Advertising/Sales
Sales / BD
Sales
Phd
Proficient
1
San Jose, CA, USA