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Role Overview:
We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.
Key Responsibilities:
Required Skills and Qualification:
Good to Have Skills:
What We Offer:
Job ID: 151689551
Skills:
Apache Spark, Kafka, Sql, Kinesis, MLops, Databricks, Python, Aws S3, embeddings, AWS Bedrock, LLMs, RAG frameworks, LLMOps, Lakehouse architectures, open-source AI models, vector databases, Pinecone, FAISS, Delta Lake
Skills:
Ml, FastAPI, Python, Docker, Nlp, Flask, Pinecone, LanGraph, LLMs, Gen AI, SLMs, embedding models, Weaviate, Hugging Face Transformers, RAG, LangChain, FAISS
Skills:
PostgreSQL, Cursor, Pytorch, Docker, Neo4j, Python, AWS, Gcp, FastAPI, Azure, Kubernetes, pgvector, scikit-learn, Qdrant, Hugging Face, Pinecone, Claude, Cypher, LangGraph, GraphRAG, CrewAI, LangChain, Agentic AI orchestration tool, Copilot, entity relationship extraction, AutoGen, RAG, Weaviate, ontology knowledge modelling
Skills:
PostgreSQL, Microservices, Docker, Python, AWS, Redis, Git, Gcp, FastAPI, Rest Apis, Azure, Kubernetes, Pinecone, Claude, CI CD, LangGraph, API integrations, CrewAI, LangChain, Vector databases, video AI, speech AI, Milvus, OpenAI, Gemini, Weaviate
Skills:
Sql, Deep Learning, Tensorflow, Pandas, Pytorch, Gcp, Microservices, Machine Learning Algorithms, Numpy, AWS, Python, Azure, Apis, Nlp, Generative AI, Hugging Face, cloud platforms, LangChain, CI CD pipelines, Model fine-tuning, MLflow, Scikit-learn, MLOps concepts, RAG architectures, NoSQL databases