Matplotlib, Machine Learning, Hadoop, Power Bi, Tableau, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Gcp, Spark, Seaborn, Azure, Python, AWS, Generative AI, LLMOps, Scikit-learn, reinforcement learning, Vector Databases, Agentic workflows, Prompt Engineering

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

software engineering practices , data preparation , model development , Machine Learning, MLops, Python, Sql, Feature Engineering, Ai

Machine Learning, SAS, Data Mining, Sql, Spark, Spss, Python, pylearn2, Github Copilot, Claude Code, Vibe Coding, R, Databricks Genie, Business Intelligence

Modern data platform tooling (e.g. Databricks or equivalent), Robotics telemetry, AWS or comparable cloud infrastructure, Data infrastructure for GenAI use cases, Data pipelines, Data ingestion processing, data models, Robotics data formats, ML models, Backend services

snowflake , Machine Learning, Power Bi, Tableau, Sql, Tensorflow, Pandas, Numpy, Pytorch, MLops, Qlik, Databricks, Python, Computer Vision, Airflow, scikit-learn, Ai, anomaly detection, AWS Sagemaker, Nifi, Time-series forecasting

Tensorflow, MLops, Pytorch, Python, Sql, Deep Learning, Vector Databases, LLMOps, reinforcement learning, Agentic Workflows

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