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Cisco Solutions Engineer Japan, Minato 256461744
18.11.2024
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What You’ll Do
We are seeking a Solutions Engineer - Artificial Intelligence (AI) to join our dynamic sales team. As an SE (AI), you will drive the adoption of our AI solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations. This role requires a deep understanding of AI technologies and experience relaying technical concepts to a diverse audience.
Who You Are
You will build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc. You will also act as a link between technical teams, account teams, executives, partners/customers. In addition, you will show case AI solutions/products, its potential and promote its tactical and technical responsibilities. You will play an important role in the design, development and promotion of AI Solutions and address challenges. You will need to travel as needed to meet with clients and attend industry events.
Minimum Qualifications:
- 6+ years of technical presales experience selling Compute, Storage, and Network solutions.
- Proficiency in Python (must), MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, IBM Cloud, or other platforms and programming languages.
- Experienced with databases (Oracle, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Snowflake, BigQuery) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
- Ability to provide detailed and consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and AI/ML solutions.
Preferred Qualifications
- Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree is a plus.
- Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences on AI topics
- AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
- In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
- Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.
- Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
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).
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