Ai architect

2 days ago


Jaipur, India Live Connections Full time

Role - Technical ArchitectExperience - 15+ yearsBudget - Up to 55 LPA including 15% variablesWork Location - RemoteRequired Notice Period - Immediate to 30 days onlyMust Have15+ years of overall experienceHands-on experience in the following skillsDesign Architecture, RHL, AI ArchitectureKey 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, Deep Seek, Qwwn, and domain-specific variants like Fin BERT.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 or Whats App on



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