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Applied Scientist
6 months ago
About Us:
We are 8bit.ai, a pioneering new initiative from CtrlS and Cloud4C group, focused on developing a high-performance multi-technology, vendor-independent, and xPU-based Accelerated Cloud Computing platform. Stacking massive clusters purpose-built for high-performance parallel computing, the group also aims to launch a global accelerated cloud solution. In addition to above, the firm will focus on broader Artificial General Intelligence (AGI) products, supercomputing services, and end-to-end AI engineering services.
About the Role:
In this dynamic role, you'll bridge the gap between theoretical AI research and practical implementation. You'll leverage your expertise in various AI domains like natural language processing (NLP) and machine learning (ML) to design, develop, and deploy AI models for real-world 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 fine-tune 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 agent-based frameworks and the up and coming LAM models
Develop end-to-end roadmap for customers that are on the AI journey.
Develop and maintain a Model factory including building domain specific 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 Retrieval-Augmented 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 2-5 years of experience with PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field with 9 CGPA or above.
Proven experience in training and fine-tuning 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 Retrieval-Augmented Generation (RAG) technologies (a plus).
Experience with model porting and optimization for different hardware and software platforms.
In depth knowledge of AL/ML technologies, frameworks (e.g, Tensorflow, PyTorch), and programming languages (e.g, Python)
A passion for innovation and a desire to push the boundaries of what's possible with AI.
About CtrlS Datacenters and Cloud4C :
CtrlS Datacenters Ltd, the largest Tier IV datacenter provider in Asia, began operations in 2007 and operates 15 datacenters across eight key markets and is set to build over 600 MW of datacenter capacity by 2029. The company is leading the charge on embracing renewable energy for a sustainable future. CtrlS Datacenters has announced its plans to explore new overseas markets in Southeast Asia and Middle East, with Thailand being the first international market foray.
Cloud4C is the world's largest Application-focused and Automation-driven cloud managed services provider, serving 4000+ enterprises including 60 of the Fortune 500 multinationals in 26 countries spread across the Americas, Europe, Middle East, APAC. Equipped with 25 Centers of Excellence, 2000+ skilled and certified cloud experts, comprehensive cloud security framework comprising 40+ security controls, pre-met compliances with leading industry regulations, Cloud4C helps in migrating, modernizing, and managing mission-critical enterprise IT landscapes end-to-end across public, private, hybrid and multi-cloud environments in a single SLA till application login layer, successfully delivering upto 99.95% uptime throughout. Cloud4C is an AWS Advanced Tier Services Partner, Azure Expert MSP and Microsoft Gold Partner, Premium Google Cloud Partner, and Oracle Cloud Registered Partner with Cloud Sell and Cloud Services Expertise. Cloud4C is also the world’s leading premium global supplier for SAP S/4HANA solutions and SAP RISE, having successfully deployed hundreds of large-scale, complex, and tailored SAP transformations till date.
