Machine Learning and Data Science Expert
5 days ago
Are you a skilled Python Cloud Computing Specialist looking for a new challenge? Do you want to work with a dynamic team and contribute to the development of cutting-edge machine learning solutions?
Responsibilities:
- Design, develop, and deploy machine learning models using Python and ML libraries such as TensorFlow and PyTorch.
- Build and maintain scalable data pipelines using PySpark and Databricks.
- Optimize data storage and retrieval using SQL, Postgres, and MSSQL databases.
- Deploy and manage ML models on Azure cloud platform.
- Utilize Kubernetes for container orchestration and deployment.
- Implement CI CD pipelines using GitHub and JFrog.
- Automate workflows to ensure seamless integration and deployment of ML models.
- Perform statistical analysis to extract insights and support data-driven decision-making.
Requirements:
- Bachelors or Masters degree in computer science, engineering, data science, or a related field.
- 5-8 years of hands-on experience in machine learning and data engineering.
- Proficiency in Python and ML libraries such as TensorFlow and PyTorch.
- Experience with cloud platforms, particularly Azure.
- Knowledge of containerization and orchestration tools, specifically Kubernetes.
- Strong SQL skills with experience in Postgres and MSSQL databases.
- Proficiency in data processing frameworks such as PySpark and Databricks.
- Familiarity with version control systems like GitHub and CI CD tools like JFrog.
- Experience with statistical analysis and data visualization tools.
- Understanding of workflow orchestration using Apache Airflow.
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