Visionary AI Innovator

1 week ago

Guntur, Andhra Pradesh, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 20,00,000
Job Title: Visionary AI Innovator

We are seeking an experienced AI Architect to spearhead the design, development, and deployment of large-scale AI solutions.

The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices.

  • Design end-to-end AI systems leveraging large language models and generative AI technologies.
  • Develop scalable, production-ready AI applications that meet business objectives and performance requirements.
  • Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini).

Key Responsibilities:

  • AI Solution Design & Implementation.
  • Architect end-to-end AI systems leveraging large language models and generative AI technologies.
  • Design scalable, production-ready AI applications that meet business objectives and performance requirements.
  • Model Development & Fine-tuning.
  • Fine-tune open-source models for specific business use cases.
  • Implement custom training pipelines and evaluation frameworks.
  • Optimize model performance, latency, and cost for production environments.

Required Qualifications: Experience 7+ years of experience in machine learning engineering or data science.

Proven track record of delivering large-scale ML solutions.

Technical Skills: Expert-level proficiency with LLM APIs, hands-on experience fine-tuning transformer models, strong proficiency in FastAPI, Docker, and Kubernetes, experience with ML frameworks and cloud platforms, core competencies include strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques.

Preferred Qualifications: Experience with vector databases and retrieval-augmented generation (RAG) systems, knowledge of distributed training and model parallelization techniques, experience with model quantization and optimization for edge deployment, familiarity with AI safety, alignment, and responsible AI practices.

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