
Senior Data Scientist
1 week ago
We are seeking an experienced AI Architect to lead 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.
Key Responsibilities
- 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 objectives and performance requirements
- Integrate leading LLM APIs (OpenAI, Anthropic Claude, Google Gemini) and establish best practices for prompt engineering, model selection, and AI system optimization
- Fine-tune open-source models (Llama, Mistral) for specific business use cases and optimize model performance, latency, and cost for production environments
- 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
- Collaborate with stakeholders to understand business problems and translate them into technical requirements
- Provide technical guidance and mentorship to development teams
Required Skills & Qualifications
- 7+ years of experience in machine learning engineering or data science
- Proven track record of delivering large-scale ML solutions
- Expert-level proficiency with LLM APIs
- Hands-on experience fine-tuning transformer models
- 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, Azure) and their AI/ML services
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