AI Machine Learning Engineer II (Full Time) United States
Cisco
Remote 🌎🌍🌏 29 April
Data Science & AI/ML
California, United States 🇺🇸
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. When you apply, a Cisco representative may contact you directly if a relevant position opens.
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 will be responsible for developing 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 include optimizing these generative AI applications for optimal performance, scalability, and reliability. You will engage in red teaming activities to validate the robustness and precision of the applications. Staying up-to-date with the latest advancements in AI and machine learning is expected, as is suggesting how new technologies might be implemented. Additionally, you will design and develop APIs to facilitate interactions 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 encounter. 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 a Master's in Computer Science, Data Science, Statistics, Mathematics, Engineering, a related program, or holders of equivalent academic certifications.
- Proficiency in 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.
- Proficiency in 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.
Why Cisco
#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.
We embrace digital, and help our customers implement change in their digital businesses. Some may think we’re “old” (40 years strong) and only about hardware, but we’re also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do – you can’t put us in a box!
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.)
Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.
So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us!
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