Blue Cloud Softech

4 weeks ago


Bengaluru, India Blue Cloud Softech Solutions Limited Full time

About the job :About the Role :Were seeking an AI Developer with strong expertise in deep learning (CNNs, RNNs, Transformers) and hands-on experience in computer vision and sequence modeling. You will drive the development of AI systems that integrate perception (vision models), reasoning (LLMs), and action (multi-agent orchestration). This role requires both research depth and production engineering rigor, with end-to-end ownership of training, scaling, deployment, and monitoring of AI systems.Key Responsibilities Learning (Primary Focus) : - Architect and train CNN/ViT models for classification, detection, segmentation, and OCR.- Build and optimize RNN/LSTM/GRU models for sequence learning, speech, or timeseries forecasting.- Research and implement transformer-based architectures bridging vision and language tasks.- Create scalable pipelines for data ingestion, annotation, augmentation, and synthetic data generation.Agentic AI & Multi-Agent Frameworks :- Design and implement multi-agent workflows using LangChain, LangGraph, CrewAI, or similar frameworks.- Develop role hierarchies, state graphs, and integrations that enable autonomous vision + language workflows.- Optimize agent systems for latency, cost, and reliability.LLM Fine-Tuning & Retrieval-Augmented Generation (RAG) :- Fine-tune open-weight LLMs using LoRA/QLoRA, PEFT, or RLHF methods.- Develop RAG pipelines integrating vector databases (FAISS, Weaviate, pgvector).- Combine LLM reasoning with CNN/RNN perception modules in multimodal systems.MLOps & Deployment at Scale :- Develop reproducible training workflows with PyTorch/TensorFlow and experiment tracking (W&B, MLflow).- Deploy models with TorchServe, Triton, or KServe on cloud AI stacks (AWS Sagemaker, GCP Vertex, Kubernetes).- Optimize inference with ONNX/TensorRT, quantization, and pruning for cloud and edge devices.- Build robust APIs/micro-services (FastAPI, gRPC) and ensure CI/CD, monitoring and automated retraining.Collaboration & Mentorship :- Translate business needs into scalable deep learning solutions.- Mentor junior engineers in CNNs, RNNs, and production ML practices.- Lead technical reviews and promote best practices across the team.Minimum Qualifications :- B.S./M.S. in Computer Science, or related discipline.- 5+ years building deep learning systems with CNNs and RNNs in production.- Strong Python skills and Git workflows.- Proven delivery of computer vision pipelines (OCR, classification, detection).- Hands-on experience with LLM fine-tuning and multimodal AI.- Experience in containerization (Docker) and deployment on cloud AI platforms.- Knowledge of distributed training, GPU acceleration, and inference optimization.Preferred Qualifications :- Research experience in transformer architectures (ViTs, hybrid CNN-RNN Transformer models).- Prior work in sequence modeling for speech or time-series data.- Contributions to open-source deep learning frameworks or vision/sequence datasets.- Experience with edge AI deployment (ref:hirist.tech)


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