Urgent | ML Data Engineer / Analyst | 10 + years | Houston, TX

$60 - $70

Contract: Corp-To-Corp, W2, 12 Month(s)

  • 100% Travel


  • machine learning
  • Artificial intelligence
  • Python
  • Spark
  • SQL

Job Description

Design and implement RESTful API's using Python in Django on Linux environments.
Job Description:
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

Experience with –
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

Thanks Regards,
Chetna Dufare ApTask EMail: Office: +1