AWS Gen AI
Price Waterhouse Coopers · Hyderabad · onsite · Posted 31d ago
Undisclosed4–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Bachelor's degree in Computer Science, Data Science, AI/ML, or related field.
- 5+ years of experience in software engineering or ML engineering.
- 3+ years of hands-on experience with AWS AI/ML services.
- Strong proficiency in building GenAI applications using Amazon Bedrock and foundation models.
- Hands-on experience with SageMaker for model training, fine-tuning, and deployment (JumpStart, HyperPod).
- Experience building RAG pipelines with Bedrock Knowledge Bases and vector stores (OpenSearch Serverless, Pinecone, or similar).
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Experience with orchestration frameworks (LangChain, LlamaIndex, CrewAI, or Strands Agents).
- Experience with prompt engineering, optimization, and evaluation techniques.
- Understanding of LLM architectures, tokenization, and inference optimization.
- Experience configuring Bedrock Guardrails for content safety and compliance.
- Knowledge of data engineering for AI/ML (ETL, data preprocessing, feature engineering).
- Strong communication skills and ability to articulate technical decisions.
Sourced from naukri
Skills
Aws SagemakerBedrockamazon web servicesGenerative Ai
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Price Waterhouse Coopers
Management Consulting
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