Intelligent Systems Developer

2 days ago

rajkot, India beBeeArtificialintelligence Full time

Advanced AI Solutions ArchitectWe are seeking an innovative and skilled Data Scientist to join our team. As an Advanced AI Solutions Architect, you will be responsible for developing cutting-edge Generative AI, LLM, and agentic systems.This is a unique opportunity to work on complex business problems and transform them into high-impact AI solutions. You will research, design, and build advanced generative AI models (LLMs, diffusion, multi-agent systems) and own AI projects end-to-end: ideation, PoC, scalable deployment, and monitoring.Required Skills and QualificationsMastery of Programming & Frameworks:Python (advanced), multiprocessing/async programming.PyTorch, TensorFlow, JAX.HuggingFace Transformers/Diffusers.LangChain, LangGraph, LlamaIndex, Semantic Kernel.MLOps: MLflow, W&B, Kubeflow.CUDA, CuPy, CuGraph.Expertise in Generative & Agentic AI:RAG (standard, graph-based, vector DBs like FAISS, Pinecone, Weaviate, Milvus).Multi-agent orchestration (LangGraph, AutoGen, Semantic Kernel).Fine-tuning diffusion models (Stable Diffusion, Flux.1, ControlNet, DreamBooth).LLM fine-tuning (LoRA, QLoRA) on Llama3, Mistral, CodeLlama, Falcon, Gemma.Advanced prompt engineering & function calling.Strong Foundation in ML & Deep Learning:XGBoost, LightGBM, CatBoost, clustering, PCA/UMAP.CNNs, RNNs/LSTMs, Transformers (BERT, ViT, GPT).GNNs (GraphSAGE, GAT), Time-series (Prophet, TFT).RL: PPO, DQN, RLHF.Proficiency in Computer Vision:YOLO (v5–v8), DETR, Faster R-CNN.OCR: PaddleOCR, Tesseract, EasyOCR, LayoutLM.Video analytics: DeepSORT, ByteTrack.Multi-modal: CLIP, BLIP, SAM, Florence-2.Experience with Optimization & Deployment:TensorRT, ONNX, quantization, pruning, distillation.Docker, Kubernetes, REST/gRPC APIs.Azure ML, Azure OpenAI, App Services.Monitoring: Prometheus, Grafana, Azure Monitor, ELK.Qualifications:Bachelor's or Master's in Computer Science or related field.3.5–8 years experience in ML/AI with proven end-to-end solution delivery.Strong fundamentals in ML/DL, optimization, modeling.Experience deploying production-level ML/LLM solutions.Publications, open-source contributions, or patents are a plus.Excellent analytical, debugging & problem-solving skills.

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