AI Architect

6 days ago

Bengaluru, India Anvaya Info Solutions Pvt. Ltd Full time

AI Architect

Experience: 10+ to 15 years

Job Location: Bangalore ( Hybrid)

Salary: Upto 40 LPA


Note: This is for one of our UK based product development client for their Bangalore office


Job Description

We are seeking an experienced and visionary AI Architect  to lead the design, research, and deployment of cutting-edge AI solutions. This role combines advanced technical expertise with a strong research acumen to innovate in areas of generative AI, fine-tuning, NLP, retrieval systems, and scalable AI deployment. The ideal candidate will have a passion for solving complex problems and a track record of delivering impactful AI solutions in production environments.

Key Responsibilities

Model Research and Innovation

  • Conduct advanced research to fine-tune, optimize, and integrate state-of-the-art generative AI models, including Llama, Gemma, Llava, BLIP, CLIP, and other LLMs and VLMs.
  • Explore and leverage state-of-the-art architectures, such as transformers and retrieval-augmented techniques (RAG) , to develop innovative solutions aligned with cutting-edge advancements.
  • Apply deep mathematical principles to foster innovation in algorithm and architecture research.

Fine-Tuning Expertise

  • Leverage fine-tuning methodologies, including PEFT (e.g., LoRA, QloRA, etc), to adapt pre-trained models for specialized use cases.
  • Develop strategies to enhance model efficiency, scalability, and robustness while minimizing computational costs.

Natural Language Processing and Retrieval Systems

  • Build sophisticated NLP pipelines and retrieval-based systems to enable advanced contextual understanding and interaction.
  • Utilize tools like LangChain, LangGraph, and LlamaIndex for seamless integration of language models into real-world applications.
  • Conduct original research to develop bespoke frameworks where off-the-shelf solutions are insufficient, ensuring optimal performance and scalability.

MLOps and Deployment

  • Architect and deploy scalable, robust AI systems leveraging frameworks such as PyTorch and PyTorch Distributed for multi-instance GPU fine-tuning and training.
  • Implement MLOps best practices for CI/CD, model monitoring, and performance optimization in production.

Collaborative Development

  • Partner with cross-functional teams to translate business objectives into actionable AI-driven solutions.
  • Foster a culture of continuous learning, innovation, and excellence across the organization.

Technical Proficiency

  • Proficiency in frameworks such as PyTorch and tools like LangChain, LangGraph, LlamaIndex, Milvus, W&B, DeepSpeed, etc.
  • Proven experience with fine-tuning methodologies, including PEFT (LoRA, QLoRA), RLHF, and advanced prompting techniques (Few-Shot, Zero-Shot, etc).
  • Strong understanding of distributed training, retrieval systems, and scalable NLP techniques.
  • Familiarity with MLOps practices and tools for robust AI system deployment.

Mathematical and Research Acumen

  • In-depth knowledge of linear algebra, calculus, probability, statistics, and optimization techniques.
  • Ability to interpret and implement methodologies from complex research papers and high-impact journals.
  • Proven capability to track and synthesize state-of-the-art research from A* conferences and academic publications for applied use.

Who Should Apply?

This position is ideal for individuals with a strong foundation in AI research, hands-on experience with generative models, and a desire to push the boundaries of innovation. If you are passionate about leveraging AI to solve complex challenges and excel in a fast-paced, research-driven environment, we want to hear from you

Location:  On-site, Bangalore

Experience Required:  10+ Years

Education:  Master’s in Computer Science, Mathematics, AI, or a related field preferred.


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