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