Artificial Intelligence/Machine Learning Engineer

3 weeks ago


Bengaluru, India Awign Enterprise Pvt ltd Full time

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. (ref:hirist.tech)


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