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 :

- 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.