Senior AI / Machine Learning Engineer (Generative AI & LLMs)
- Грейд
- Senior
- Формат
- Удалённо
- Категория
- Data/ML
- Источник
- 💻☕️ Jobs_IT
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Looking 👁 for AI 🤖 Engineers
Senior AI / Machine Learning Engineer (Generative AI & LLMs) opportunity that may be a good fit for your background.
Requirements:
• 4–5+ years of AI/ML or Data Science experience
• Advanced Python, SQL, and ML experience
• Hands-on experience with LLMs, RAG, embeddings, and transformers
• PyTorch/TensorFlow, Hugging Face, LangChain or LlamaIndex
• Vector databases such as Pinecone, FAISS, Milvus, or OpenSearch
• MLOps with Docker, Kubernetes, MLflow, and CI/CD
• AWS and production AI/ML deployment experience
The role involves building production GenAI systems, RAG pipelines, recommendation/personalization models, and scalable ML infrastructure from development through deployment.
The position is fully remote, with full-time or contract options.
Senior AI / Machine Learning Engineer (Generative AI & LLMs) opportunity that may be a good fit for your background.
Requirements:
• 4–5+ years of AI/ML or Data Science experience
• Advanced Python, SQL, and ML experience
• Hands-on experience with LLMs, RAG, embeddings, and transformers
• PyTorch/TensorFlow, Hugging Face, LangChain or LlamaIndex
• Vector databases such as Pinecone, FAISS, Milvus, or OpenSearch
• MLOps with Docker, Kubernetes, MLflow, and CI/CD
• AWS and production AI/ML deployment experience
The role involves building production GenAI systems, RAG pipelines, recommendation/personalization models, and scalable ML infrastructure from development through deployment.
The position is fully remote, with full-time or contract options.
- python
- sql
- llm
- rag
- embeddings
- transformers
- pytorch
- tensorflow
- hugging_face
- langchain
- llamaindex
- pinecone
- faiss
- milvus
- docker
- kubernetes
- mlflow
- ci_cd
- aws
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