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Showing 9 jobs
Skills:
Machine Learning, Predictive Modeling, Azure, Python, Sql, Google Cloud, AWS, R, scikit-learn, Statistical Modeling
Skills:
Git, Python, Sql
Skills:
process mining , Weights & Biases, Deep Learning, Spark, Databricks, Python, Data Pipelines, Feature Engineering, Sequence Modelling, MLflow, Transformer-based Models, Multimodal Learning Pipelines, Diagnostic Tooling, Hyperparameter Tuning, Large-scale Data Processing, Experiment Tracking, Model Management
Skills:
Sql, Data Science, Python, embeddings, knowledge engineering, enterprise ontologies, big data infrastructure, vector databases, semantic models, semantic retrieval, GenAI systems, enterprise knowledge grounding, RAG pipelines, semantic data systems, applied AI
Skills:
Machine Learning, Natural Language Processing, SAS, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, Generative AI, R
Skills:
attribution modeling , Machine Learning, Pyspark, Neural Networks, Support Vector Machine, Clustering, Sql, Deep Learning, Databricks, Azure, Python, AWS, Advanced Analytics, Predictive Analytics, Regression, Tree-based algorithms, Classification, Recommender System, Gen AI, Data Platforms, Llm
Skills:
Predictive Modeling, Machine Learning, Algorithm Design, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Spark, Python, a/b testing, AWS Bedrock, Data Pipelines, Scikit-learn, Statistical Methods, Recommendation Systems, GCP AI Platform, AWS SageMaker, Google Vertex AI, Uplift Modeling
Skills:
Databricks, Sql, Tensorflow, Deep Learning, Machine Learning, Pytorch, Data Science, Gcp, Sparql, AWS, Python, Azure, cloud environments, semantic data systems, scikit-learn, GQL, semantic models, embeddings, enterprise ontologies, GenAI systems, RAG, semantic retrieval, Statistical Modeling, Cypher, applied AI, enterprise knowledge grounding, graph query languages, ML libraries, vector databases, knowledge engineering, big data infrastructure
Skills:
Sql, Gitlab, Pytorch, Tensorflow, Python, XGBoost, Plotly, Shiny
