AI Architect - 50Lakhs - Bangalore - Emids
| AI Architect | We are seeking a highly skilled AI Architectto design and implement end-to-end AI/ML architectures with a strong focus on LLM fine-tuning model training deployment andagentic AI solutions. The ideal candidate will have deep expertise inmodern AI frameworks including LangChain LangGraph and other orchestration/agent frameworks with the ability to architect scalable reliable and secure AI platforms for enterprise use cases. | 8 12 years of experience in AI/ML engineering data science or ML architecture roles.
Strong hands-on experience with LLM fine-tuning supervised and unsupervised model training RLHF or other advanced training methodologies.
Expertise in deploying models on cloud platforms (AWS/GCP/Azure) using tools such as SageMaker Vertex AI or custom container setups.
Proficiency with LangChain LangGraph or similar agent frameworks (e.g. CrewAI AutoGen OpenAI Swarm).
Strong knowledge of agentic programming autonomous workflows and scalable agent orchestration patterns.
Solid programming skills in Python including experience with ML frameworks like PyTorch TensorFlow or JAX.
Understanding of vector databases (e.g. Pinecone Weaviate Chroma Milvus) and retrieval strategies (RAG Retrieval-Augmented Generation).
Experience deploying scalable inference workloads using GPUs serverless functions or containerized microservices.
Familiarity with MLOps/LLMOps practices model monitoring versioning and lifecycle management.
Excellent communication architecture documentation and problem-solving skills.D1 |
AI Architect - 50Lakhs - Bangalore - Emids AI Architect We are seeking a highly skilled AI Architectto design and implement end-to-end AI/ML architectures with a strong focus on LLM fine-tuning model training deployment andagentic AI solutions. The ideal candidate will have deep expertise inmo...
AI Architect - 50Lakhs - Bangalore - Emids
| AI Architect | We are seeking a highly skilled AI Architectto design and implement end-to-end AI/ML architectures with a strong focus on LLM fine-tuning model training deployment andagentic AI solutions. The ideal candidate will have deep expertise inmodern AI frameworks including LangChain LangGraph and other orchestration/agent frameworks with the ability to architect scalable reliable and secure AI platforms for enterprise use cases. | 8 12 years of experience in AI/ML engineering data science or ML architecture roles.
Strong hands-on experience with LLM fine-tuning supervised and unsupervised model training RLHF or other advanced training methodologies.
Expertise in deploying models on cloud platforms (AWS/GCP/Azure) using tools such as SageMaker Vertex AI or custom container setups.
Proficiency with LangChain LangGraph or similar agent frameworks (e.g. CrewAI AutoGen OpenAI Swarm).
Strong knowledge of agentic programming autonomous workflows and scalable agent orchestration patterns.
Solid programming skills in Python including experience with ML frameworks like PyTorch TensorFlow or JAX.
Understanding of vector databases (e.g. Pinecone Weaviate Chroma Milvus) and retrieval strategies (RAG Retrieval-Augmented Generation).
Experience deploying scalable inference workloads using GPUs serverless functions or containerized microservices.
Familiarity with MLOps/LLMOps practices model monitoring versioning and lifecycle management.
Excellent communication architecture documentation and problem-solving skills.D1 |
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3 hours ago
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