We are seeking a highly skilled AI/ML Engineer with expertise in AWS AI/ML services and a strong understanding of Generative AI using Amazon Bedrock. The ideal candidate will have experience in building deploying and optimizing AI/ML models on AWS integrating LLMs into applications and leveraging AWS services for scalable AI solutions.
Key Responsibilities
- Design develop and deploy AI/ML models on AWS leveraging SageMaker Bedrock and related services.
- Build LLM-based applications using Amazon Bedrock and fine-tune models for specific use cases.
- Implement RAG (Retrieval-Augmented Generation) and integrate vector databases like OpenSearch Pinecone or FAISS.
- Develop scalable production-ready ML pipelines using AWS services (Lambda Step Functions S3 DynamoDB etc.).
- Utilize Bedrock SageMaker and custom fine-tuned models to deliver business-driven AI solutions.
- Work with cross-functional teams to integrate ML models into real-world applications.
- Ensure AI solutions adhere to best practices for security compliance and cost optimization.
- Stay updated with the latest trends in GenAI prompt engineering and AI model optimization.
Required Skills & Qualifications
- Strong expertise in AWS AI/ML stack Amazon Bedrock SageMaker Lambda Step Functions S3 DynamoDB etc.
- Experience with Generative AI models (GPT Claude Mistral LLaMA etc.) and fine-tuning techniques.
- Hands-on experience in Python TensorFlow PyTorch or Hugging Face.
- Knowledge of vector databases and embedding models.
- Experience in building secure and scalable AI applications using AWS.
- Familiarity with MLOps practices CI/CD for ML models and cloud automation.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Good to Have
- Experience with LangChain Prompt Engineering and RAG techniques.
- Understanding of data governance AI ethics and responsible AI practices.
- Certification in AWS Machine Learning Specialty/Associate or relevant AI certifications.
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