AI Visionary

1 day ago

Kota, Rajasthan, India beBeeArtificial Full time US$ 1,80,000 - US$ 2,50,000

Transformative AI Architect Lead

Overview:

We are seeking a visionary AI Architect to spearhead the design, development, and deployment of cutting-edge AI solutions. The ideal candidate will bridge the gap between business objectives and technical implementation, with deep expertise in generative AI and modern MLOps practices.

Key Responsibilities:

AI Solution Design & Implementation

Design and implement end-to-end AI systems leveraging large language models and generative AI technologies.

Develop scalable, production-ready AI applications that meet business needs and performance requirements.

Integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.) to enhance model capabilities.

Establish best practices for prompt engineering, model selection, and AI system optimization.

Model Development & Fine-tuning

Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases.

Implement custom training pipelines and evaluation frameworks to optimize model performance.

Stay current with the latest model architectures and fine-tuning techniques.

Infrastructure & Deployment

Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes).

Build robust, scalable APIs using FastAPI and similar frameworks to support AI systems.

Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment.

Ensure high availability, security, and performance of AI systems in production.

Business & Technical Leadership

Collaborate with stakeholders to understand business problems and translate them into technical requirements.

Provide technical guidance and mentorship to development teams to ensure successful project execution.

Conduct feasibility assessments and technical due diligence for AI initiatives to inform strategic decisions.

Required Skills & Qualifications:

Experience

7+ years of experience in machine learning engineering or data science.

Proven track record of delivering large-scale ML solutions with significant impact.

Technical Skills

Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.).

Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.).

Strong proficiency in FastAPI, Docker, and Kubernetes.

Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).

Proficiency in Python and modern software development practices.

Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services.

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.

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