Required Qualifications
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.
Robust 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).
Solid communication skills and ability to articulate technical decisions.
📌 Hiring: Aws Gen Ai Developer Bengaluru
🏢 Teamware Solutions
📍 Bengaluru
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