Artificial Intelligence Specialist

7 days ago

visakhapatnam, India beBeeDataScientist Full time

Job OverviewWe are seeking an experienced professional to spearhead the development of cutting-edge Generative AI, LLM, and agentic systems. This is a high-impact opportunity for someone who can transform complex business challenges into innovative AI solutions.The ideal candidate will lead projects end-to-end-from research and prototyping to production deployment, driving business outcomes through data-driven insights.Design and develop advanced generative AI models (LLMs, diffusion, multi-agent systems) that drive business growth.Own AI projects from ideation to scalable deployment, ensuring seamless integration with existing systems.Cultivate high-performance ML/DL models using state-of-the-art architectures, pushing the boundaries of what's possible.Work on RAG pipelines, agent orchestration, fine-tuning, computer vision, and optimization, staying up-to-date with industry trends.Collaborate with cross-functional teams to deliver production-grade AI systems that meet business needs.Technical Skills You'll NeedProgramming & FrameworksPython (advanced), multiprocessing/async programming for efficient system design.PyTorch, TensorFlow, JAX for building high-performance AI models.HuggingFace Transformers/Diffusers for leveraging pre-trained models.LangChain, LangGraph, LlamaIndex, Semantic Kernel for advanced language understanding.MLOps: MLflow, W&B, Kubeflow for deploying AI models at scale.CUDA, CuPy, CuGraph for GPU acceleration.Generative & Agentic AIRAG (standard, graph-based, vector DBs like FAISS, Pinecone, Weaviate, Milvus) for efficient data retrieval.Multi-agent orchestration (LangGraph, AutoGen, Semantic Kernel) for cohesive system design.Fine-tuning diffusion models (Stable Diffusion, Flux.1, ControlNet, DreamBooth) for enhanced creativity.LLM fine-tuning (LoRA, QLoRA) on Llama3, Mistral, CodeLlama, Falcon, Gemma for tailored language understanding.Advanced prompt engineering & function calling for optimized model performance.ML & Deep LearningXGBoost, LightGBM, CatBoost, clustering, PCA/UMAP for feature engineering.CNNs, RNNs/LSTMs, Transformers (BERT, ViT, GPT) for sequence modeling.GNNs (GraphSAGE, GAT), Time-series (Prophet, TFT) for graph and time-series analysis.RL: PPO, DQN, RLHF for decision-making and reinforcement learning.Computer VisionYOLO (v5–v8), DETR, Faster R-CNN for object detection.OCR: PaddleOCR, Tesseract, EasyOCR, LayoutLM for text recognition.Video analytics: DeepSORT, ByteTrack for video analysis.Multi-modal: CLIP, BLIP, SAM, Florence-2 for multi-modal understanding.Optimization & DeploymentTensorRT, ONNX, quantization, pruning, distillation for model optimization.Docker, Kubernetes, REST/gRPC APIs for deployment and management.Azure ML, Azure OpenAI, App Services for cloud infrastructure.Monitoring: Prometheus, Grafana, Azure Monitor, ELK for system monitoring.

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