Contractor Senior Python Engineer

Position Type: Contract, Full-Time, Remote

Working Hours: CST

About Pavago:Pavago seeks a Senior Python Engineer to collaborate with a client, enhancing algorithm performance and integrating machine learning models.

Key Responsibilities:

• Unit Testing & Anomaly Detection: Develop methods for anomaly detection.
• Debugging & Refining Algorithms: Debug and optimize backend engine algorithms in Python and C#.
• Algorithm Optimization: Enhance algorithm performance for large-scale datasets using threading, multithreading, and GPU processing.
• Machine Learning Integration: Implement machine learning models for statistical modeling and predictions.
• Prompt Engineering: Apply prompt engineering techniques.
• Project Management: Use project management tools like Asana, Azure Boards, Slack, or Jira.

Requirements:

• Technical Proficiency: Proficiency in Python and C#, experience with threading, multithreading, and GPU processing, unit testing frameworks and methodologies.
• Familiarity: Machine learning frameworks (TensorFlow, PyTorch) and SQL.
• Skills: Strong analytical and problem-solving abilities, code issue diagnosis using visualizations, proficiency in project management tools.
• Knowledge: Prompt engineering and eagerness to implement AI.
• Experience: Algorithm development and debugging in Python and C-based languages, working with large-scale datasets, and machine learning background.

What Makes You a Perfect Candidate?

• Advanced Algorithm Skills: Extensive experience in developing and debugging algorithms in Python and C#.
• Machine Learning Expertise: Proficiency in machine learning models and frameworks like TensorFlow or PyTorch.
• Data Processing Mastery: Working with large-scale datasets and optimizing computational tasks.
• Proactive & Detail-Oriented: Proactive approach with strong commitment to code quality and performance.

What Does a Typical Day Look Like?

• Refining complex algorithms
• Performing unit tests
• Debugging the backend engine
• Optimizing algorithms for large-scale datasets
• Working with machine learning models for predictive capabilities
• Collaborating with team for issue troubleshooting
• Enhancing workflow with prompt engineering techniques

Interview Process:

• Initial Phone Call
• Technical Test
• Zoom Call Interview
• Final Interview (with client)
• Background Checks

What is the last date for applying to the job?

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