AI Developer

2 days ago

kakinada, India beBeeArtificialIntelligence Full time

Join our AI ecosystem as a skilled professional to build innovative Generative AI solutions. You will lead projects from research to production, transforming complex business problems into high-impact AI outcomes.Main Responsibilities:Develop advanced generative AI models using state-of-the-art architectures and techniques.Own AI projects from conceptualization to scalable deployment and monitoring.Design and build high-performance ML/DL models for cutting-edge applications.Collaborate with cross-functional teams to deliver production-grade AI systems and services.Tech Skills:Programming & FrameworksPython (advanced) with concurrent programming and asynchronous design patterns.PyTorch, TensorFlow, JAX, and HuggingFace Transformers/Diffusers for model development and training.MLOps: MLflow, W&B, Kubeflow, and CUDA/CuPy/CuGraph for scalable model deployment and management.Generative & Agentic AIRAG (standard), graph-based, vector databases like FAISS, Pinecone, Weaviate, and Milvus for efficient data storage and retrieval.Multi-agent orchestration (LangGraph, AutoGen, Semantic Kernel) for intelligent system control and decision-making.Fine-tuning diffusion models (Stable Diffusion, Flux.1, ControlNet, DreamBooth) for generating high-quality synthetic data.LLM fine-tuning (LoRA, QLoRA) on large language models like Llama3, Mistral, CodeLlama, Falcon, and Gemma for enhanced conversational AI capabilities.ML & Deep LearningXGBoost, LightGBM, CatBoost, clustering, PCA/UMAP for dimensionality reduction and feature extraction.CNNs, RNNs/LSTMs, Transformers (BERT, ViT, GPT) for image and text analysis and generation.GNNs (GraphSAGE, GAT), Time-series (Prophet, TFT) for graph-based and sequential data modeling.RL: PPO, DQN, RLHF for reinforcement learning and decision-making under uncertainty.Computer VisionYOLO (v5–v8), DETR, Faster R-CNN for object detection and tracking.OCR: PaddleOCR, Tesseract, EasyOCR, LayoutLM for document processing and analysis.Video analytics: DeepSORT, ByteTrack for surveillance and security applications.Multi-modal: CLIP, BLIP, SAM, Florence-2 for fusion of different sensor modalities.Qualifications:Bachelor's or Master's in Computer Science or related field with a strong foundation in mathematics and statistics.3.5–8 years experience in AI/Machine Learning with a proven track record of delivering end-to-end solutions.Excellent analytical, debugging, and problem-solving skills with attention to detail and accuracy.Experience deploying production-level AI solutions and services.Publishing research papers, contributing to open-source projects, or obtaining patents is a plus.

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    kakinada, India beBeeAutomation Full time

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