Innovative Data Solutions Leader

3 days ago

kanpur, India beBeeDataScientist Full time

Senior Data Scientist RoleAt the forefront of innovation, we seek an accomplished Senior Data Scientist to spearhead the development of groundbreaking Generative AI, LLM, and agentic systems. This pivotal role demands a high degree of expertise in crafting cutting-edge AI solutions that transform complex business challenges into actionable insights.Key Responsibilities:Create advanced generative AI models (LLMs, diffusion, multi-agent systems) that drive business growth.Lead end-to-end AI projects from ideation to production deployment, ensuring seamless delivery.Design and develop high-performance ML/DL models using state-of-the-art architectures, pushing the boundaries of AI capabilities.Collaborate with cross-functional teams to deliver production-grade AI systems that meet the highest standards of quality and efficiency.Technical Skills & QualificationsCore Technical Competencies:Advanced Python programming skills, including multiprocessing and async programming.Proficiency in PyTorch, TensorFlow, JAX, and HuggingFace Transformers/Diffusers.Familiarity with MLOps tools like MLflow, W&B, Kubeflow, and CUDA/CuPy/CuGraph.Generative & Agentic AI ExpertiseSpecialized Knowledge Areas: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.ML & Deep Learning FundamentalsBroad Knowledge Base:XGBoost, LightGBM, CatBoost, clustering, PCA/UMAP.CNNs, RNNs/LSTMs, Transformers (BERT, ViT, GPT).GNNs (GraphSAGE, GAT), Time-series (Prophet, TFT).RL: PPO, DQN, RLHF.Computer Vision CapabilitiesAdvanced Techniques:YOLO (v5–v8), DETR, Faster R-CNN.OCR: PaddleOCR, Tesseract, EasyOCR, LayoutLM.Video analytics: DeepSORT, ByteTrack.Multi-modal: CLIP, BLIP, SAM, Florence-2.Optimization & Deployment StrategiesInfrastructure Expertise:TensorRT, ONNX, quantization, pruning, distillation.Docker, Kubernetes, REST/gRPC APIs.Azure ML, Azure OpenAI, App Services.Monitoring: Prometheus, Grafana, Azure Monitor, ELK.Qualifications & RequirementsNecessary Background: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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