data engineering , Etl Tools, Programming, Cloud Technologies, Cloud Storage, Oracle Rdbms, Data Pipeline, Apache Kafka, Databricks, high performance computing, Generative AI, Computer Science, performance tuning of Queries, Direct experience, Data Warehouse Systems, Financial Management

data engineering , Data Modelling, Sql Development, PostgreSQL, Programming, Cloud Technologies, Jenkins, Cloud Storage, Data Pipeline, Data Lake, Databricks, Data Transformation, high performance computing, Computer Science, Gradio, performance tuning of Queries, Generative AI Strategy, large datasets, Computer Studies

data engineering , Etl Tools, Programming, Cloud Technologies, Cloud Storage, Oracle Rdbms, Data Pipeline, Apache Kafka, Data Lake, Databricks, high performance computing, Computer Science, performance tuning of Queries, Generative AI Strategy, Direct experience, Financial Management

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

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

Databases, Machine Learning, Sql, Python, Data Pipelines, Model Deployment, Analytics Tools, Statistics

unstructured data , Spark SQL, Apis, Python, Agentic AI principles, Prompt engineering, Simulation Models, Tool-using AI agents, LLMs, Autonomous workflows, heuristics, GenAI ecosystems, Structured data, Operations Research Optimization, Linear Mixed Integer Programming, Utility-based agents, Multi-step decision systems, MLOps deployment pipelines, Data pipelines, Multi-agent systems

model development , Remaining Useful Life (RUL) estimation, GCP), Cloud platforms (AWS, Machine Learning, Azure, Python, Vibration signal processing, Time-series analytics, data acquisition, Predictive Maintenance, anomaly detection, Condition Monitoring, Failure prediction, AI frameworks, Signal Processing, Operationalization

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

S3, Nosql, Tensorflow, Pytorch, Flask, Cosmos DB, Python, BigQuery, Redshift, Sql, Azure ML, Git, Spark, Databricks, FastAPI, Airflow, GenAI, Hugging Face, LangGraph, Vertex AI, vector DBs, LangChain, LLMs, Scikit-learn, SageMaker, RAG, LlamaIndex, CI CD for ML