Data Strategist

1 week ago

shimoga, India beBeeArtificial Full time

Artificial Intelligence EngineerAs a key member of our team, you will be responsible for developing and deploying cutting-edge Artificial Intelligence (AI) systems.This role involves transforming complex business problems into high-impact AI solutions, leading projects end-to-end from research and prototyping to production deployment.Key Responsibilities:Design and develop advanced generative AI models using state-of-the-art architectures.Own AI projects end-to-end: ideation → PoC → scalable deployment → monitoring.Develop high-performance machine learning (ML)/deep learning (DL) models using PyTorch, TensorFlow, or JAX.Work on reinforcement learning (RL), computer vision, and optimization.Collaborate with cross-functional teams to deliver production-grade AI systems.Required Skills:Python (advanced), multiprocessing/async programming.PyTorch, TensorFlow, JAX.HuggingFace Transformers/Diffusers.LangChain, LangGraph, LlamaIndex, Semantic Kernel.MLOps: MLflow, W&B, Kubeflow.CUDA, CuPy, CuGraph.Generative & Agentic AI:Research and design advanced generative AI models (LLMs, diffusion, multi-agent systems).Implement RAG pipelines, agent orchestration, fine-tuning, computer vision, and optimization.Develop advanced prompt engineering & function calling techniques.Machine Learning & 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.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.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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    shimoga, India beBeeData Full time

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    shimoga, India beBeeData Full time

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    shimoga, India beBeeProfessional Full time

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    shimoga, India beBeeData Full time

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