AI Architect

7 days ago

India Live Connections Full time

Role - Technical Architect

Experience - 15+ years

Budget - Up to 55 LPA including 15% variables

Work Location - Remote

Required Notice Period - Immediate to 30 days only

Must Have

15+ years of overall experience

Hands-on experience in the following skills

Design Architecture, RHL, AI Architecture

Key Responsibilities:

- Design and Oversee AI Architecture: Develop the overall architecture for the LLM from pretraining to supervised fine-tuning and RLHF.
- Technical Strategy and Roadmap: Define the technical strategy and create a roadmap for the project, aligning it with organizational goals.
- Technology Selection: Make high-level decisions on technology stack, frameworks, and tools to be used in the development and deployment of the use case, platforms and solutions.
- Integration Management: Oversee the integration of various AI components, including data pipelines, model training environments, and deployment infrastructure.
- Risk Management: Identify potential technical risks in the project and develop strategies to mitigate them.
- Collaboration: Work closely with data scientists, engineers, domain experts, and stakeholders to ensure cohesive development and implementation.
- Innovation and Best Practices: Stay informed about the latest advancements in AI technology and implement best practices to enhance the LLM's capabilities.
- Research and Evaluation: Conduct comprehensive research on existing LLM architectures, including open-source models like GPT, Mistral, DeepSeek, Qwwn, and domain-specific variants like FinBERT.

Required Skills:

- Extensive AI/ML Experience: Deep knowledge of artificial intelligence and machine learning concepts, particularly in natural language processing (NLP) and large language models (LLMs).
- Software Architecture Expertise: Strong understanding of software architecture principles, including scalability, modularity, and security.
- Cloud Computing Proficiency: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing environments.
- Data Architecture Knowledge: Familiarity with data management practices, big data technologies, and data pipeline design.
- MLOps Experience: Understanding of MLOps practices for continuous integration, delivery, and monitoring of machine learning models.
- Leadership Skills: Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders.
- Problem-Solving Abilities: Excellent analytical skills to address complex technical challenges and devise innovative solutions.

To apply, connect with Abhishek via abhishek.m@livecjobs.com or WhatsApp on 9154908075

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