Posted:23 hours ago|
Platform:
Remote
Full Time
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.
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.
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.
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.
BriskWin IT (BWIT)
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Salary: Not disclosed
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