Description

You will lead end-to-end machine learning projects and develop production-grade predictive models.

Responsibilities

• Develop production-grade prediction ML models using data from Azure Blob and Databricks.
• Build and maintain CI/CD pipelines using Azure DevOps or similar tools.
• Manage the full data science lifecycle, including data acquisition, cleaning, and statistical modeling.
• Test, validate, and automate data science models using A/B testing to verify quantitative improvements.
• Collaborate with data engineers and architects to document processes and integrate APIs.

Required Skills

• 8 years of Python development experience within the Data Science domain.
• Proficiency in DS algorithms for RNN, GNN networks, and knowledge of LLMs and embeddings.
• Extensive experience with Python libraries including Pandas, NumPy, Matplotlib, SciPy, and SQLite 3.
• Hands-on experience with Azure, Databricks, Azure DataLake Gen2, and Azure ML Services.
• Expertise in ML frameworks such as TensorFlow, PyTorch, Keras, and Scikit-Learn.
• Strong SQL skills for data manipulation and analysis.
• Ability to build Python and REST APIs for data integration and social analytics feeds.
• Experience with ML Flow and ETL processes.
• Knowledge of statistical methods including linear regression and confidence intervals.

Preferred Skills

• Experience with R programming.

Key Skills

Education

Any Gradute