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Showing 10 jobs
Skills:
Python, Sql, Non-linear constrained optimization, Marketing Mix Models, Regression-based models, Time-series modeling, Econometric Modeling, Hierarchical Bayesian methods
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Python Programming, Deep Learning, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
Skills:
Tensorflow, Pytorch, Opencv, Python, YOLO, CNNs
Skills:
Vertex AI (Google), Pytorch, Boost, Python, Gcp, Tensorflow, Devops, Prometheus, Terraform, Spark, Sci-Kit Learn, LangChain Development, Gemini
Skills:
triton , Tensorflow, MLops, AWS, Pytorch, FastAPI, Kubernetes, Python, Azure, Gcp, Docker, LangChain, vLLM, LLMs, OpenAI, LlamaIndex, GenAI, vector stores, SageMaker, embeddings, RAG, model serving, Anthropic, prompt engineering
Skills:
Apis, REST, Python, scalable services, Search Engines, data processing pipelines, ANN indexes, vector databases, hybrid retrieval, information retrieval fundamentals, lexical search, GRPC, BM25, LLM RAG development, evaluation methods for retrieval, metadata design, retrieval concepts
Skills:
Jenkins, Nlp, Docker, FastAPI, Object Oriented Programming, Python, AWS AI Services, Generative AI, NLU, Llm
Skills:
Azure ML, MLops, Sql, Python, GCP Vertex AI, LLMOps, GCP AI Platform, AWS SageMaker, Kubeflow, MLflow, Graph Query Languages
Skills:
Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving
Skills:
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
