Requirements

Expected technologies

Python

SQL

AWS

Google Cloud Platform

Microsoft Azure

Our requirements

• At least 3 years of experience in data science or machine learning roles, including hands-on work with model development, evaluation, and deployment.
• Proficiency with MLFlow for model tracking, experimentation, and deployment.
• Experience working in Databricks for collaborative development, data analysis, and model training.
• proficiency in Python,
• Advanced SQL skills for data extraction, manipulation, and analysis.

Optional

• Familiarity with cloud platforms like AWS, GCP, or Azure.
• Familiarity with CI/CD pipelines for model deployment

Your responsibilities

• Design, develop, and deploy machine learning models to solve business problems, ensuring scalability and performance.
• Manage and track experiments using MLflow, maintaining a clear lineage of model versions and metrics.
• Collaborate within Databricks environments to preprocess data, conduct exploratory analysis, and train machine learning models.
• Write efficient and maintainable Python and SQL code for data manipulation, feature engineering, and performance optimization.
• Evaluate model performance, implement improvements, and ensure seamless deployment to production environments.
• Work closely with cross-functional teams, including data engineers and business stakeholders, to translate business needs into data-driven solutions.
• cross-functional teams to align technical solutions with business objectives.