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LLM Model Developer
Accenture Services Pvt Ltd
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Fine-tune and deploy LLMs with RAG, MLOps, and AI solutions.
Work with cross-functional teams to align AI solutions with business goals and technical requirements.
Implement and advocate for best MLOps practices related to automation, monitoring, CI/CD, and model retraining.
Architect and optimize retrieval-augmented generation pipelines using vector databases (eg FAISS, Pinecone, Weaviate).
Guide integration of APIs and frameworks (LangChain, LlamaIndex, Semantic Kernel) into production systems.
Build and maintain scalable data pipelines in collaboration with data engineers.
Design and refine evaluation frameworks for both predictive and generative models, focusing on accuracy, fairness, hallucination detection, and grounding.
Develop and deploy predictive ML models using frameworks such as PyTorch, TensorFlow, and Scikit-learn.
Lead the design and implementation of applications powered by LLMs, multimodal models, and generative architectures.
Establish and continually improve monitoring systems for live models to ensure reliability and performance.
What you bring
aws sagemaker
python
foundation models
llm prompting
rag
15+ yrs
Fine-tune foundation models (e.g., with LoRA, PEFT) for domain-specific use cases.
Communicate advanced ML/GenAI concepts effectively to non-technical stakeholders for strategic alignment. Professional & Technical Skills: - -AWS Sagemaker, Foundation Models, Evaluation, LLM Prompting, RAG, Vector databases, Python, Agentic, ML frameworks (e.g. LangChain, PyTorch, Scikit-learn), Architecture Design, Security Concepts. -Working experience in Bedrock, Foundation Models, Evaluation, LLM Prompting, RAG, Python, Agentic AI. -Extensive experience (15+ yrs) with 3 –4 yrs hands on experience in Gen AI.
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