Senior AI/ML Engineer

Job Title

Senior AI/ML Engineer – AWS Bedrock & SageMaker Specialist

Department: AI/ML Engineering
Reports To: AI/ML Manager
Experience: 6+ years

Job Summary

Lead the AI/ML architecture for AutoDev Studio, focusing on LLM integration, custom model training, AWS Bedrock/SageMaker implementation, and intelligent pipeline optimization.

Key Responsibilities

• LLM Integration: Implement and optimize multi-LLM pipeline architecture with Claude, GPT, and custom models
• Model Management: Build model registry, capability mapping, and intelligent model selection systems
• Custom Training: Develop domain-specific models for healthcare and code generation use cases
• Bedrock Integration: Implement AWS Bedrock for foundation model access and fine-tuning
• Pipeline Intelligence: Build AI-powered code drift detection and pattern recognition systems
• Performance Optimization: Optimize LLM inference, caching, and cost management
• Knowledge Systems: Design and implement knowledge graphs and transfer learning systems

Required Skills

• AI/ML Expertise: 6+ years machine learning, deep learning, NLP, transformer architectures
• LLM Technologies: Fine-tuning, prompt engineering, RAG systems, embedding models
• AWS AI Services: Bedrock, SageMaker, Comprehend, Textract, AI/ML pipeline orchestration
• Python Advanced: PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn
• MLOps: Model versioning, A/B testing, model monitoring, automated retraining
• Vector Databases: MongoDB Atlas Vector Search, Pinecone, Weaviate, embedding storage and retrieval
• API Integration: REST APIs for LLM services, async processing, rate limiting

Healthcare AI Experience

• Medical NLP and clinical text processing
• HIPAA-compliant ML model deployment
• Bias detection and fairness in healthcare AI
• Clinical decision support systems

Key Projects

• Multi-LLM orchestration system
• Code drift classification models
• Healthcare domain fine-tuned models
• Intelligent pattern recognition engine
• Knowledge transfer automation system