Advanced Generative AI Solutions Specialist

1 week ago

nadiad, India beBeeDataScientist Full time

Senior Data Scientist – Generative AIWe are seeking an accomplished Senior Data Scientist to spearhead the development of cutting-edge Generative AI solutions. This role requires expertise in building advanced generative models, leading projects from concept to production deployment. Design and develop sophisticated generative AI models, including LLMs, diffusion models, and multi-agent systems.Oversight of AI projects, driving ideation, proof-of-concept, scalable deployment, and monitoring.Craft high-performance ML/DL models utilizing state-of-the-art architectures.Foster RAG pipelines, agent orchestration, fine-tuning, computer vision, and optimization techniques.Technical ExpertiseProgramming languages: Python (advanced), multiprocessing/async programming.HuggingFace Transformers/Diffusers.LangChain, LangGraph, LlamaIndex, Semantic Kernel.MLOps: MLflow, W&B, Kubeflow.CUDA, CuPy, CuGraph.Generative & Agentic AIRAG (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.Machine Learning & Deep LearningXGBoost, LightGBM, CatBoost, clustering, PCA/UMAP.CNNs, RNNs/LSTMs, Transformers (BERT, ViT, GPT).GNNs (GraphSAGE, GAT), Time-series (Prophet, TFT).RL: PPO, DQN, RLHF.Computer VisionYOLO (v5–v8), DETR, Faster R-CNN.OCR: PaddleOCR, Tesseract, EasyOCR, LayoutLM.Video analytics: DeepSORT, ByteTrack.Multi-modal: CLIP, BLIP, SAM, Florence-2.Deployment & OptimizationTensorRT, ONNX, quantization, pruning, distillation.Docker, Kubernetes, REST/gRPC APIs.Azure ML, Azure OpenAI, App Services.Monitoring: Prometheus, Grafana, Azure Monitor, ELK.RequirementsBachelor's or Master's degree in Computer Science or related field.Minimum 3.5 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.Additional SkillsPrior knowledge of publications, open-source contributions, or patents is desirable.Excellent analytical, debugging, and problem-solving skills.

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