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Showing 10 jobs
Skills:
probability , Machine Learning, Tcp, Http, Dns, SSL, Sql, Tls, Python, Data Analysis, clustering techniques, Ip, Go, web application architectures, Statistics
Skills:
Tensorflow, Numpy, Pytorch, Python, Deep Learning, Pandas, TSLib, Merlion, Neural Forecast, GRUs, TSAI, TensorFlow Recommenders, Darts, Alibaba Recommenders, NVIDIA Recommenders, LSTMs, Microsoft Recommenders, GluonTS, Orbit, Scikit-learn, Transformer-based models, NVIDIA Merlin, Time Series Forecasting, FBProphet, TorchRec, PyTorch Forecasting, statsmodels
Skills:
causal inference , Sql, Python, Tensorflow, regression modelling, R, scikit-learn, statistical methodologies
Skills:
prophet , Pyspark, Tensorflow, Nlp, Pytorch, Numpy, Docker, Python, AWS, Pandas, Arima, Spark, FastAPI, Azure, embeddings, ETS, scikit-learn, MLflow, multi-region, multi-SKU, Streamlit, Forecasting, Transformers, ML-based forecasting, hierarchical forecasting
Skills:
Machine Learning, Scipy, Natural Language Processing, Clustering, Sql, Numpy, Pandas, Gcp, Azure, Python, AWS, LangChain, Segmentation, Hugging Face, Scikit-learn, anomaly detection, Retrieval-Augmented Generation, Recommendation Systems, LangGraph, GenAI applications, Time-series analysis, Large Language Models
Skills:
Sql, Tensorflow, Machine Learning, Pytorch, Python, Distributed data processing, RAG pipelines, Agentic AI systems, Feature engineering, Statistical Models, LLM-powered applications, Prompt engineering, Deep learning frameworks
Skills:
Hadoop, Power Bi, Tableau, Sql, Seaborn, Pandas, Matplotlib, Spark, Python, Machine Learning Algorithms, Demand Forecasting, scikit-learn, data visualization tools, price optimization, statsmodels, inventory optimization
Skills:
data engineering , ELT, Numpy, Pandas, Python, Computer Vision, Etl, Generative AI, AWS Bedrock, data pipelines, scikit-learn, Hugging Face, Anthropic, Azure OpenAI, Google Vertex AI, image segmentation, OpenAI
Skills:
regression models , snowflake , Unix, Github, Pyspark, Nlp, Pytorch, Python, AWS, Sql, Deep Learning, Git, Pandas, Linux, Spark, Decision Trees, Databricks, Azure, VS Code, Matrix Factorization, Content-Based Filtering, Time-Series Forecasting, Neural Collaborative Filtering, LLMs, Segmentation techniques, Scikit-learn, Unsupervised Clustering, collaborative filtering
Skills:
containerization , agent coordination, Azure ecosystem, cloud-native GenAI solutions, agent-based workflows, LLM APIs, vector databases, CI CD, embedding generation, Python 3.11, model monitoring
