Cisco AI Machine Learning Engineer II Full Time United States 

United States, California, San Jose 

782393255

Applications are accepted until further notice.

Please note this posting is to advertise potential job opportunities.This exact role may not be open today but could open in the near future.

Who You'll Work With

You will join a dynamic engineering team, building AI/ML solutions and collaborating closely with various teams, including platform, security, release engineering, and support, to deliver the product. You will also contribute to ensuring the product's smooth operation.

What You'll Do

In this role, you willbe responsible fordeveloping and implementing applications based on generative large language models, such as GPT-4, Claude, Llama, and their derivatives, ensuring they meet business requirements. Your duties will includethese generative AI applications forperformance, scalability, and reliability. You will engage in red teaming activities tothe robustness and precision of the applications. Stayingwith the latest advancements in AI and machine learning is expected, as is suggesting hownew technologiesmight be implemented. Additionally, you will design and develop APIs tointeractions with AI models. Addressing and resolving any issues that arise from AI applications will be an integral part of your responsibilities.

Who You Are

You are a lifelong learner, eager to adopt tools and technologies that address the challenges you. You value building solid relationships with your colleagues and take pride in coaching and mentoring engineers.

Minimum Qualifications:

• Including but not limited to a graduate/upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-year University.
• Open to 0-3 years of relevant experience or recent graduate or those in the final year of aMaster's in Computer Science, Data Science, Statistics, Mathematics, Engineering, a related program, or holders of equivalent academic certifications.
• Proficiencyin programming languages such as Python or Go.
• Knowledge of machine learning frameworks (TensorFlow,PyTorch) and model training and optimization platforms.
• Familiarity with data science toolkits like Pandas, NumPy, SciPy, Scikit-learn.
• Proficiencyin Natural Language Processing (NLP).

Preferred Qualifications:

• Experience with cloud platforms such as Google AI Platform or AWS.
• In-depth knowledge of machine learning algorithms, including generative models.
• Understanding of big data technologies (e.g., Hadoop, Spark, Kafka).
• Competence in Go/Java, particularly for backend development and integration with data science applications.
• Coursework, research experience, academic publications, or industry experience in machine learning, generative AI, and analytics of time series systems.

“old” (40 years strong) and only about hardware, but

But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)