AI/ML Engineer

Neural Networks, Image Processing, Scalable and production-ready AI pipelines, Deep learning techniques, AI and machine learning models, Chatbots, Python Programming Language, Cloud AI services, Generative AI models

Deep Learning, Spring Boot, Natural Language Processing, Java, DevSecOps, AI ML, Github, Image Processing, Scripting, Containers, Machine Learning, Kubernetes, Apis, GitHub Actions, Google BigQuery, cloud-native platforms, CI CD, reinforcement learning, generative AI, intelligent process automation

Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection

Python Programming, Keras, Tensorflow, Devops, Nltk, Pytorch, Kubernetes, Docker, test automation, Strong statistical quantitative skills, Linux systems, Cloud experience – AWS Azure GCP, AI ML Supervised Unsupervised GenAI LLMs NLP, Data integration across logs APIs files and databases, CI CD, Database experience – Postgres Redshift MSSQL, End-to-end data pipelines, API design for real-time scalable applications, spaCy

Ml, Deep Learning, PYTHON, Ai, GENERATIVE AI