Machine Learning Engineer

Python, cold-start problem-solving strategies, end-to-end ML pipelines, learning-to-rank techniques, feature engineering, deep retrieval models, offline and online evaluation, metric alignment for recommendation systems, model serving, collaborative filtering

data engineering , bedrock , Lambda, Pytorch, MLops, Docker, Spark, Kubernetes, Python, Etl, AWS, Hugging Face, Flink, Monitoring, CI CD, SageMaker, vector DBs

Machine Learning, Kafka, Rest Api, Nlp, Gcp, Docker, Pytorch, Azure, Kubernetes, Python, AWS, LangChain, LangGraph, Pub Sub, DeepSeek, Qwen, Llama, Transformers, BERT, Gemma

ECS, Kubernetes, Python, dense embeddings, Qdrant, Fast API, LangGraph, BM25, SageMaker, Vector Databases, Valkey VSS, ECR, AWS stack, Conversational AI, DSPy, ColBERT, ML systems, Amazon Bedrock

triton , Pytorch, MLops, Distributed Systems, Kubernetes, Python, Cuda, TensorRT, Nvidia Dynamo