Job Details

ML Engineer / Data Scientist position open for an AI project. Requires strong Python skills, experience with ML/LLM deployment, Docker, Kubernetes, cloud platforms, Prompt Engineering, fine-tuning, RAG, Vector DBs, RLHF, and LLM evaluation. Middle/Middle+ grade, full-time, remote.

Project focused on AI. Responsibilities include deploying ML/LLM solutions, Prompt Engineering (few-shot, chain-of-thought, ReAct), fine-tuning/PEFT (LoRA, QLoRA, adapters), RAG pipeline (chunking → embedding → retrieval → generation), working with Vector Databases (Qdrant / Pinecone / Milvus / FAISS), RLHF or synthetic data, and LLM evaluation (BLEU, ROUGE, MMLU, custom evals). Experience with multimodal models (LLaVA, GPT-4V, Qwen-VL) is a plus.

Proficient in Python. Deployment: ML/LLM solutions, Docker, Kubernetes, cloud platforms (AWS/GCP/Azure). Prompt Engineering: few-shot, chain-of-thought, ReAct. Fine-tuning / PEFT: LoRA, QLoRA, adapters. RAG: full pipeline (chunking → embedding → retrieval → generation). Vector Databases: Qdrant / Pinecone / Milvus / FAISS. RLHF or synthetic data: preferences / generation and filtering. Frameworks: LangChain / LlamaIndex / Hugging Face. LLM Evaluation: BLEU, ROUGE, MMLU, custom evals. Inference Optimization: vLLM / TensorRT / ONNX. Experience with multimodal models (LLaVA, GPT-4V, Qwen-VL).

Full-time employment. Remote work format.