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

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

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

data engineering , Database Technologies, Statistical Modelling, AWS, python, Sql, MLops, neural embeddings, EDD, vector databases, transformer models, reinforcement learning, LangGraph, ELT concepts, R, Optimization, shell languages, LangChain, multi-criteria decision analysis, deep learning algorithms, GenAI systems, LLM models, AI Engineering, structured table transformation

Algorithm Development, Machine Learning, Distributed Computing, Tableau, MATLAB, Sql, Predictive Analytics, Azure Cloud, MLops, Docker, Advanced Analytics, Spark, Kubernetes, Python, Forecasting, Optimisation, 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

Data Science, Databricks, AWS, Robotics Data Formats, Ingestion Pipelines, Data Pipelines, Backend Services, GenAI Use Cases, data models