Distributed Systems, Python, Model performance monitoring, Continuous delivery of ML solutions, MLOps tools

Pyspark, Data Management, Sql, DevSecOps, Software Engineering, Machine Learning Algorithms, Python, Open-Source Programming Languages, Data Preprocessing, Statistics, Artificial Intelligence Systems, Ericsson Business Intelligence and Analytics Competence, Cloud Development

Machine Learning, Power Bi, Pyspark, Sql, Nlp, Siem, Databricks, Python, GenAI, SOAR, anomaly detection, Feature engineering, Statistical Modeling, Cloud data services, Graph analytics

probability , statistical concepts , Tableau, Sql, Clustering, Python, Sap Business Objects, regressions, Looker, R-Shiny, R, Microstrategy

Azure Databricks, Tensorflow, Pytorch, MLops, Python, LangChain, LLM application development, reinforcement learning, CNNs, prompt engineering, LangGraph, enterprise AI security, RAG, NLP techniques, Vision Transformers, Transformer architectures

Machine Learning, Sql, Google Cloud, Deep Learning, MLops, Statistical Modelling, Microsoft Azure, Python, AWS, Generative AI, RAG frameworks, vector databases, prompt engineering

data engineering , Data Analytics, Web Scraping, Deep Learning, Data Extraction, Nlp, MLops, Azure, Python, AWS, Git-based CI CD workflows, Generative AI, AI Agents, LLMOps, cloud platforms, RAG, Data Communication, synthetic data techniques, Multimodal AI, DL frameworks, entity recognition

causal inference , prophet , Sql, Tensorflow, Pytorch, MLops, Databricks, Python, Airflow, data pipelines, scikit-learn, PyMC, Stan, Bayesian modeling, R, dbt, Experimental Design, hierarchical models, feature engineering

Predictive Modeling, Machine Learning, Svm, Clustering, Deep Learning, Statistical Analysis, Python, Forecasting, Random Forests, Regression, R, Boosting, Text Analysis, Tree