
Data Driven AI Solutions Leader
1 day ago
We are seeking an experienced AI solution architect to lead the design, development, and deployment of large-scale AI solutions.
Key Responsibilities:
- 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.
- Evaluate and integrate LLM APIs from leading providers.
- Establish best practices for prompt engineering, model selection, and AI system optimization.
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.
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.
- Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment.
Business & Technical Leadership
- Collaborate with stakeholders to understand business problems and translate them into technical requirements.
- Provide technical guidance and mentorship to development teams.
- Conduct feasibility assessments and technical due diligence for AI initiatives.
Required Qualifications:
- Experience in machine learning engineering or data science.
- Proven track record of delivering large-scale ML solutions.
- Expert-level proficiency with LLM APIs.
Preferred Qualifications:
- Experience with vector databases and retrieval-augmented generation systems.
- Knowledge of distributed training and model parallelization techniques.
- Experience with model quantization and optimization for edge deployment.
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