Mqtt, Amqp, Databricks, AWS, data pipelines, GenAI use cases, retrieval-augmented generation, robotics data formats, analytics layer, Data Collection, ML models, OPC-UA, large language model, data models, backend services, robotics telemetry

Mqtt, Amqp, Cloud Infrastructure, Databricks, AWS, Robotics telemetry, Data pipelines, Data ingestion processing, data models, Robotics data formats, ML models, Backend services, Retrieval-augmented generation workloads, OPC-UA

model selection , Retrieval-Augmented Generation (RAG), Machine Learning, Natural Language Processing, Sql, Python, Data Ingestion, Feature Engineering, Data Science Libraries, Production Monitoring, Deep Learning Framework, Recommendation Systems, Time-Series Forecasting, Regularisation, Large-Scale Data Processing, Evaluation Metrics, MLOps Tooling, Personalisation Engines, Knowledge Graphs, Large Language Models

Algorithm Development, Machine Learning, Distributed Computing, MATLAB, Advanced Analytics, Python, Ai, Statistics, Data processing platforms, Mathematical Modelling, CI CD pipelines

data wrangling , Tensorflow, Pytorch, Python, Statistical Process Control, Data Analysis, scikit-learn, predictive maintenance models, process optimization frameworks, R, Experimental Design, time-series analysis

Machine Learning, Data Cleaning, Dashboards, Agile Project Management, Powerbi, Data Visualisation, Python, model deployment, pre-processing, data insights, data science models, data quality issues, R, interactive visualisations, statistical methodologies, Stakeholder Management, feature engineering

Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Python, hyper-parameter optimization, pipeline development, Visualization, Amazon Quick Sight, Data Processing, object-oriented programming, data platforms, CI CD, Scikit-Learn, Transformation, model validation, test-driven development, AWS SageMaker, data ingestion, feature selection

Ml, Data Mining, Sql, Advanced Analytics, Data Architecture, Python, Model Execution, Data Ingestion, Feature Engineering, Ai, Automation Pipelines, R, Decision-Making, Statistical Machine Learning