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

MLops, Pyspark, Sql, Python, machine learning workflows, modern data platforms

Data Scientist, Sql, Python

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

Machine Learning, Hadoop, Sql, Deep Learning, Tensorflow, Data Quality, Pytorch, Gcp, MLops, Spark, Data Governance, Predictive Analytics, Azure, Python, AWS, Generative AI, LLMOps, Scikit-learn, reinforcement learning, Model Deployment

causal inference , Machine Learning, Sql, Git, Docker, Python, Statistics, Modelling Libraries, Jupyter, Data Analysis, Simulation, Econometrics

Large Language Models (LLMs), Tableau, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, AWS, Hadoop, Power Bi, Sql, Git, Pandas, Gcp, MLops, Spark, Azure, Predictive Maintenance, Optimization Techniques, Operations Research, Generative AI, Scikit-learn, Time-series forecasting

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

Dashboards, Data Quality, Data Governance, Python, Sql, Machine learning libraries and frameworks, Data visualisations