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Cloud Solutions Architect

2 months ago

Santa Clara, California, United States P17 Solutions Full time

Overview

P17 Solutions is seeking a talented Solutions Architect with a strong background in Machine Learning (ML) and Deep Learning (DL) to support our innovative projects. This role involves working with cutting-edge computing technologies and collaborating with leading enterprises to drive advancements in AI.

Key Responsibilities
  • Stay updated on the latest trends in Deep Learning and Machine Learning ecosystems. You will be tasked with designing and scaling high-performance AI solutions, whether on-premises or in cloud environments, utilizing state-of-the-art computing resources.
  • Document knowledge and share insights with colleagues. This may include creating specialized training for partners and fellow architects, writing technical articles, and collaborating on complex challenges.
  • Provide mentorship and support to partners and customers on critical projects, assisting them in establishing AI-enhanced data centers that maximize their investment in technology.
  • Lead the development of proof-of-concept (PoC) projects for enterprise applications, including large language models (LLM), retrieval-augmented generation (RAG), recommendation systems, and image recognition using various ML/DL frameworks.
  • Support the business development team throughout the sales process for GPU/DPU/Network hardware and software solutions, fostering technical relationships and empowering customers to create innovative solutions.
  • Collaborate with engineering, product, and sales teams to secure design wins and enhance product features based on customer feedback and PoC assessments.
Qualifications
  • Degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field, or equivalent experience.
  • Over 5 years of relevant experience in Deep Learning and Machine Learning, with proficiency in frameworks such as TensorFlow, PyTorch, and LangChain. Experience with GPU and CUDA is highly beneficial.
  • Experience with DevOps practices in cloud and on-premises environments, including Docker, Kubernetes, and IaaS.
  • In-depth understanding of data center architecture, including compute, storage, networking, and cloud services.
  • Ability to manage multiple tasks in a fast-paced environment.
  • Strong analytical and problem-solving capabilities.
  • Excellent communication skills, with the ability to collaborate effectively across various teams.
  • Comfortable in customer-facing roles.
  • Self-motivated with a commitment to continuous learning and knowledge sharing.
Preferred Skills
  • Experience in customer-facing roles.
  • Proficient in deploying ML/DL models at scale in production environments.
  • Familiarity with NVIDIA software libraries and hardware.
  • Knowledge of MLOps, DevOps, and cloud workflows.
  • Understanding of MLPerf, LLM, RAG, and cloud platforms like AWS, Azure, or GCP.

We value a diverse work environment and are proud to be an equal opportunity employer. P17 Solutions is committed to fostering a culture of inclusion and respect.