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Artificial Intelligence Solution Designer

2 weeks ago


Shimoga, Karnataka, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking a skilled Artificial Intelligence Solution Designer to lead the development and deployment of cutting-edge AI solutions.

Key Responsibilities:
  1. Design, develop, and implement end-to-end AI systems utilizing large language models and generative AI technologies
  2. Create scalable, production-ready AI applications that align with business objectives and performance requirements
  3. Evaluate and integrate LLM APIs from leading providers, including OpenAI, Anthropic Claude, and Google Gemini
  4. Establish best practices for prompt engineering, model selection, and AI system optimization to drive business outcomes
  5. Fine-tune open-source models, such as Llama and Mistral, for specific business use cases to enhance their effectiveness
  6. Develop custom training pipelines and evaluation frameworks to support data-driven decision-making
  7. Optimize model performance, latency, and cost for production environments to ensure seamless operation
Infrastructure & Deployment:
  1. Deploy and manage AI models at scale using containerization (Docker) and orchestration (Kubernetes)
  2. Build robust, scalable APIs using FastAPI and similar frameworks to facilitate seamless integration
  3. Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment to ensure high-quality outputs
  4. Guarantee the high availability, security, and performance of AI systems in production to meet business needs
Business & Technical Leadership:
  1. Collaborate with stakeholders to understand business challenges and translate them into actionable technical requirements
  2. Provide technical guidance and mentorship to development teams to drive success
  3. Conduct feasibility assessments and technical due diligence for AI initiatives to inform strategic decisions
  4. Develop comprehensive technical documentation, architectural diagrams, and implementation roadmaps to support informed decision-making