AI Innovator

2 days ago

Nagpur, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As a visionary AI leader, you will spearhead the development of large-scale AI solutions, merging business objectives with technical expertise. Your role will encompass designing and implementing cutting-edge AI systems that leverage generative technologies and large language models.

Key Responsibilities
  • AI Solution Design & Implementation: Achieve seamless fusion of business requirements and technical implementation through innovative AI solution design and implementation.
  • AI System Development: Develop end-to-end AI systems leveraging large language models and generative AI technologies to drive business value.
  • Scalable AI Application Design: Design scalable, production-ready AI applications that meet business objectives and performance requirements.
  • LLM API Evaluation & Integration: Evaluate and integrate LLM APIs from leading providers including OpenAI, Anthropic Claude, and Google Gemini.
  • Prompt Engineering, Model Selection & Optimization: Establish best practices for prompt engineering, model selection, and AI system optimization.
  • Model Fine-Tuning: Fine-tune open-source models such as Llama and Mistral for specific business use cases.
  • Custom Training Pipelines & Evaluation Frameworks: Implement custom training pipelines and evaluation frameworks.
  • Model Performance Optimization: Optimize model performance, latency, and cost for production environments.
  • Latest Model Architectures & Fine-Tuning Techniques: Stay current with the latest model architectures and fine-tuning techniques.
  • Enterprise-Scale AI Deployment: Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes).
  • Robust APIs: Build robust, scalable APIs using FastAPI and similar frameworks.
  • MLOps Pipelines: Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment.
  • High Availability, Security & Performance: Ensure high availability, security, and performance of AI systems in production.
Business & Technical Leadership
  • Collaboration & Stakeholder Engagement: Collaborate with stakeholders to understand business problems and translate them into technical requirements.
  • Technical Guidance & Mentorship: Provide technical guidance and mentorship to development teams.
  • Feasibility Assessments & Technical Due Diligence: Conduct feasibility assessments and technical due diligence for AI initiatives.
  • Technical Documentation & Roadmaps: Create technical documentation, architectural diagrams, and implementation roadmaps.

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