AI/ML Engineer

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

Natural Language Processing, AI ML, Tensorflow, Pytorch, Python, Generative AI, Langchain, Transformers, LLMs, scikit-learn, Hugging Face, anomaly detection, Pinecone, prompt engineering, spaCy, Word2Vec, FAISS, TF-IDF, BERT, ChromaDB, Langraph

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

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

Data Science, Nlp, Cloud, Programming Languages, Machine Learning Frameworks, Deployment, Analytics