Python and Shell Scripting Engineer
1 month ago
- Design, develop, and maintain Python scripts and Shell scripts to automate system tasks and data processing.
- Implement best practices for code readability, maintainability, and performance.
- Develop and deploy machine learning models for various applications, including natural language processing, computer vision, and predictive analytics.
- Collaborate with data scientists to implement and optimize ML algorithms.
- Work with state-of-the-art Large Language Models (LLMs) for natural language understanding and generation.
- Fine-tune and customize pre-trained language models for specific tasks.
- Develop scripts for data extraction, transformation, and loading (ETL) processes.
- Integrate ML models with data pipelines to ensure seamless data flow.
- Optimize code and algorithms for performance and scalability.
- Conduct performance profiling and implement improvements.
- Implement automation scripts for deployment, monitoring, and maintenance tasks.
- Collaborate with DevOps teams to integrate ML solutions into continuous integration/continuous deployment (CI/CD) pipelines.
Requirements
- Minimum of 5 years of professional experience in Python and Shell Scripting, with a focus on ML and LLM.
- Strong proficiency in Python and Shell scripting languages.
- Experience in developing and deploying machine learning models.
- Familiarity with Large Language Models (e.g., GPT, BERT) and their applications.
- Solid understanding of data processing, ETL processes, and data integration.
- Familiarity with database systems and data storage solutions.
- Experience in optimizing code and algorithms for performance.
- Knowledge of best practices in ML model optimization.
- Experience with automation tools and frameworks.
- Familiarity with DevOps practices and tools.
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