Overview Key Responsibilities- Lead Architect Solutioning Enterrise level AIML GenAI Cloud stack Dev ML OpsPlatform Development and Evangelism Build scalable AI platforms that are customer-facing Evangelize the platform with customers and internal stakeholders Ensure platform scalability reliability and performance to meet business needs Machine Learning Pipeline Design Design ML pipelines for experiment management model management feature management and model retraining Implement A B testing of models Design APIs for model inferencing at scale Proven expertise with MLflow SageMaker Vertex AI and Azure AI LLM Serving and GPU Architecture Serve as an SME in LLM serving paradigms Possess deep knowledge of GPU architectures Expertise in distributed training and serving of large language models Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM Model Fine-Tuning and Optimization Demonstrate proven expertise in model fine-tuning and optimization techniques Achieve better latencies and accuracies in model results Reduce training and resource requirements for fine-tuning LLM and LVM models LLM Models and Use Cases Have extensive knowledge of different LLM models Provide insights on the applicability of each model based on use cases Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases DevOps and LLMOps Proficiency Proven expertise in DevOps and LLMOps practices Knowledgeable in Kubernetes Docker and container orchestration Deep understanding of LLM orchestration frameworks like Flowise Langflow and Langgraph Skill Matrix LLM Hugging Face OSS LLMs GPT Gemini Claude Mixtral Llama LLM Ops ML Flow Langchain Langraph LangFlow Flowise LLamaIndex SageMaker AWS Bedrock Vertex AI Azure AI Databases Datawarehouse DynamoDB Cosmos MongoDB RDS MySQL PostGreSQL Aurora Spanner Google BigQuery Cloud Knowledge AWS Azure GCP Dev Ops Knowledge Kubernetes Docker FluentD Kibana Grafana Prometheus Cloud Certifications Bonus AWS Qualified Solution Architect AWS Machine Learning Specialty Azure Solutions Architect Expert Proficient in Python SQL Javascript Responsibilities Key Responsibilities Solutioning Enterrise level AIML GenAI Cloud stack Dev ML OpsPlatform Development and Evangelism Build scalable AI platforms that are customer-facing Evangelize the platform with customers and internal stakeholders Ensure platform scalability reliability and performance to meet business needs Machine Learning Pipeline Design Design ML pipelines for experiment management model management feature management and model retraining Implement A B testing of models Design APIs for model inferencing at scale Proven expertise with MLflow SageMaker Vertex AI and Azure AI LLM Serving and GPU Architecture Serve as an SME in LLM serving paradigms Possess deep knowledge of GPU architectures Expertise in distributed training and serving of large language models Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM Model Fine-Tuning and Optimization Demonstrate proven expertise in model fine-tuning and optimization techniques Achieve better latencies and accuracies in model results Reduce training and resource requirements for fine-tuning LLM and LVM models LLM Models and Use Cases Have extensive knowledge of different LLM models Provide insights on the applicability of each model based on use cases Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases DevOps and LLMOps Proficiency Proven expertise in DevOps and LLMOps practices Knowledgeable in Kubernetes Docker and container orchestration Deep understanding of LLM orchestration frameworks like Flowise Langflow and Langgraph Qualifications 8-12 years in core AI ML Skill Matrix LLM Hugging Face OSS LLMs GPT Gemini Claude Mixtral Llama LLM Ops ML Flow Langchain Langraph LangFlow Flowise LLamaIndex SageMaker AWS Bedrock Vertex AI Azure AI Databases Datawarehouse DynamoDB Cosmos MongoDB RDS MySQL PostGreSQL Aurora Spanner Google BigQuery Cloud Knowledge AWS Azure GCP Dev Ops Knowledge Kubernetes Docker FluentD Kibana Grafana Prometheus Cloud Certifications Bonus AWS Professional Solution Architect AWS Machine Learning Specialty Azure Solutions Architect Expert Proficient in Python SQL Javascript Essential skills Skill Matrixenterprise sloutioning LLM Hugging Face OSS LLMs GPT Gemini Claude Mixtral Llama LLM Ops ML Flow Langchain Langraph LangFlow Flowise LLamaIndex SageMaker AWS Bedrock Vertex AI Azure AI Databases Datawarehouse DynamoDB Cosmos MongoDB RDS MySQL PostGreSQL Aurora Spanner Google BigQuery Cloud Knowledge AWS Azure GCP Dev Ops Knowledge Kubernetes Docker FluentD Kibana Grafana Prometheus Cloud Certifications Bonus AWS Professional Solution Architect AWS Machine Learning Specialty Azure Solutions Architect Expert Proficient in Python SQL Javascript Experience Skill Matrix Enterprise solitions LLM Hugging Face OSS LLMs GPT Gemini Claude Mixtral Llama LLM Ops ML Flow Langchain Langraph LangFlow Flowise LLamaIndex SageMaker AWS Bedrock Vertex AI Azure AI Databases Datawarehouse DynamoDB Cosmos MongoDB RDS MySQL PostGreSQL Aurora Spanner Google BigQuery Cloud Knowledge AWS Azure GCP Dev Ops Knowledge Kubernetes Docker FluentD Kibana Grafana Prometheus Cloud Certifications Bonus AWS Professional Solution Architect AWS Machine Learning Specialty Azure Solutions Architect Expert Proficient in Python SQL Javascript upto 10 years

📌 Lead Aiml / Architect – Bfsi Domain (Maharashtra)
🏢 Expleo Group
📍 Maharashtra