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- Strong and extensive hands-on experience with Strong mathematical & statistical knowledge, Artificial intelligence, Machine Learning, and Predictive Modeling techniques.
- Strong and extensive hands-on experience with Python, Spark and SQL programming
- Strong and extensive hands-on experience designing, developing analytical solutions using algorithms like CNN, RNN, LSTM, Logistic Regression, Decision Trees- CART & CHAID, Random Forest, Ridge & Lasso Regression, Clustering, Time series techniques.
- Strong and extensive hands-on experience to different optimizers, MLOps, model evaluation and model optimization techniques.
- Strong and extensive hands-on experience with TensorFlow, scikit learn, pandas, Numpy, and Keras.
- Strong and extensive hands-on experience with data preparation activities with both structured and unstructured data
- Hands on experience with deploying algorithms into production environment and creating needed data pipelines for deployment.
- Experience consuming and crunching data from environments like Azure Data Lake, Azure Blob storage, Azure SQL Database, SQL Server and other open source databases
- Preference would be given if you have any exposure in processing sensor or telematics data.
- Understand business use of data and stakeholder requirements and convert to technical requirements
- Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
- Identify, acquire, cleanse & prepare, store data, and develop data products aligned with defined architecture patterns
- Responsible for normalizing and ingesting data from multiple sources.
- Work with the team to scale and deploy solution including model, documentation, training, integration
- data acquisition, preparation, and validation
- data movement and transformation
- big data computing, cloud computing and core data architecture
- Technologies such as: Azure Data Factory (ETL) must, Nice to have - Databricks, DevOps, CI/CD Pipeline Deployment, Azure SQL, GIT, ADO