AI Machine Learning Engineer
Silver Bell GroupAI Engineer / Machine Learning Engineer<\/span>
<\/h2>Role Overview<\/span><\/b>
<\/h3>We are seeking a highly skilled AI Engineer / Machine Learning Engineer with deep expertise in building, optimizing, and deploying advanced AI systems. The ideal candidate has strong experience with LLM -based architectures, vector databases, distributed AI agents, and end -to -end machine learning lifecycle management.<\/span>
<\/p>Key Responsibilities<\/span><\/b>
<\/h3>Design, develop, and deploy ML/DL models for production environments.<\/span>
<\/p><\/li>Build and optimize LLM -based systems including RAG pipelines, embeddings, and retrieval workflows.<\/span>
<\/p><\/li>Architect, implement, and maintain vector database solutions (Weaviate, Pinecone, Chroma, Qdrant).<\/span>
<\/p><\/li>Develop backend systems using FastAPI and microservice patterns.<\/span>
<\/p><\/li>Implement distributed AI agent systems and multi -agent orchestration.<\/span>
<\/p><\/li>Integrate ML models into full -stack applications (Python backend, Next.js frontend).<\/span>
<\/p><\/li>Oversee MLOps processes including model training, versioning, deployment, monitoring, and CI/CD integration.<\/span>
<\/p><\/li>Collaborate with product, data, and engineering teams to deliver scalable AI solutions.<\/span>
<\/p><\/li><\/ul>Required Skills & Qualifications<\/span><\/b>
<\/h3>ML / Deep Learning:<\/span><\/b> Advanced expertise in training and deploying models.<\/span>
<\/p><\/li>LLM, RAG & Embeddings:<\/span><\/b> Advanced proficiency with modern LLM frameworks and retrieval -augmented generation.<\/span>
<\/p><\/li>Vector Databases:<\/span><\/b> Expert -level experience with Weaviate, Pinecone, Chroma, or Qdrant.<\/span>
<\/p><\/li>Backend Architecture:<\/span><\/b> High -level proficiency with FastAPI, microservices, and modern API design.<\/span>
<\/p><\/li>Python & PyTorch:<\/span><\/b> Strong development and deployment experience.<\/span>
<\/p><\/li>Next.js:<\/span><\/b> Practical understanding of client/server communication and integration with AI backends.<\/span>
<\/p><\/li>Distributed AI Agents:<\/span><\/b> Deep understanding of agent -based AI systems.<\/span>
<\/p><\/li>MLOps:<\/span><\/b> Experience with model lifecycle management is a strong advantage.<\/span>
<\/p><\/li><\/ul>
<\/div><\/span>
<\/h3>
We are seeking a highly skilled AI Engineer / Machine Learning Engineer with deep expertise in building, optimizing, and deploying advanced AI systems. The ideal candidate has strong experience with LLM -based architectures, vector databases, distributed AI agents, and end -to -end machine learning lifecycle management.<\/span> Design, develop, and deploy ML/DL models for production environments.<\/span> Build and optimize LLM -based systems including RAG pipelines, embeddings, and retrieval workflows.<\/span> Architect, implement, and maintain vector database solutions (Weaviate, Pinecone, Chroma, Qdrant).<\/span> Develop backend systems using FastAPI and microservice patterns.<\/span> Implement distributed AI agent systems and multi -agent orchestration.<\/span> Integrate ML models into full -stack applications (Python backend, Next.js frontend).<\/span> Oversee MLOps processes including model training, versioning, deployment, monitoring, and CI/CD integration.<\/span> Collaborate with product, data, and engineering teams to deliver scalable AI solutions.<\/span> ML / Deep Learning:<\/span><\/b> Advanced expertise in training and deploying models.<\/span> LLM, RAG & Embeddings:<\/span><\/b> Advanced proficiency with modern LLM frameworks and retrieval -augmented generation.<\/span> Vector Databases:<\/span><\/b> Expert -level experience with Weaviate, Pinecone, Chroma, or Qdrant.<\/span> Backend Architecture:<\/span><\/b> High -level proficiency with FastAPI, microservices, and modern API design.<\/span> Python & PyTorch:<\/span><\/b> Strong development and deployment experience.<\/span> Next.js:<\/span><\/b> Practical understanding of client/server communication and integration with AI backends.<\/span> Distributed AI Agents:<\/span><\/b> Deep understanding of agent -based AI systems.<\/span> MLOps:<\/span><\/b> Experience with model lifecycle management is a strong advantage.<\/span>
<\/p>Key Responsibilities<\/span><\/b>
<\/h3>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li><\/ul>Required Skills & Qualifications<\/span><\/b>
<\/h3>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li>
<\/p><\/li><\/ul>
<\/div><\/span>