Applied AIML Specialist

Job Details

Job Title: Applied AI/ML Specialist

Location: Palo Alto CA

Type: Full Time

Our client 8bit.AI is a dynamic startup in the Bay Area CA seeking to hire Fulltime employees and focused on developing a highperformance multitechnology vendorindependent xPUbased Accelerated Cloud Computing platform. We stack massive clusters purposebuilt for highperformance parallel computing and aim to launch a global accelerated cloud solution. Additionally the firm will focus on broader Artificial General Intelligence (AGI) products supercomputing services and endtoend AI engineering services.

About the Role:

In this dynamic role youll bridge the gap between theoretical AI research and practical implementation. Youll leverage your expertise in various AI domains like natural language processing (NLP) and machine learning (ML) to design develop and deploy AI models for realworld applications. You will be responsible for the entire ML lifecycle from model training and optimization to production deployment and monitoring. You will also have the opportunity to contribute to the development of our internal MLOps infrastructure explore the potential of RAG technology and leverage your OpenStack expertise to manage the underlying infrastructure for our AI workloads.

Responsibilities:

• Train and finetune large language models (LLMs) using various techniques including transfer learning and prompt engineering.
• Leverage LangChain technology to integrate LLMs with other AI systems and applications.
• Develop AI Solutions to eliminate up to 70% of manual work done in routine IT Operations using agentbased frameworks and the upandcoming LAM models
• Develop an endtoend roadmap for customers that are on the AI journey.
• Develop and maintain a Model factory including building domainspecific models.
• Develop and manage RAG and Data pipelines.
• Develop and implement MLOps pipelines for efficient model training deployment and monitoring. Conduct research and experimentation with RetrievalAugmented Generation (RAG) technology.
• Port existing models to new hardware and software platforms for optimal performance.
• Collaborate with researchers engineers and product managers to define and implement AI solutions.
• Leverage your OpenStack skills to manage and optimize the infrastructure for AI workloads including scaling resources and ensuring high availability.
• Stay up to date on the latest advancements in LLM LangChain MLOps and OpenStack technologies.

Qualifications:

• Minimum of 58 years of experience with PhD or Masters degree in Computer Science Artificial Intelligence or a related.
• Proven experience in training and finetuning large language models (LLMs).
• Strong understanding of natural language processing (NLP) techniques.
• Experience with MLOps tools and methodologies such as MLFlow and Bento.
• Proven experience with virtualization platforms preferably including VMware (vSphere ESXi etc.) OR Nutanix (AHV AOS etc.)
• Familiarity with LangChain and RetrievalAugmented Generation (RAG) technologies (a plus). Experience with model porting and optimization for different hardware and software platforms.
• Indepth knowledge of AL/ML technologies frameworks (e.g Tensorflow PyTorch) and programming languages (e.g Python R)
• A passion for innovation and a desire to push the boundaries of whats possible with AI.

Please send your resumes to srini at zaspar dot com