Assignment Overview : We are seeking multiple talented Generative AI Code Optimization Specialists to enhance software performance through advanced optimization techniques.
These professionals will leverage generative AI technologies to analyze and improve code efficiency, ensuring faster execution, reduced resource consumption, and overall better software quality.
This is an exciting opportunity to contribute to innovative projects that push the boundaries of code optimization.
Minimum Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Experience : - A minimum of 3-5 years in software development or optimization roles, with a focus on performance enhancement using AI technologies.
Technical Skills : - Proficiency in programming languages such as Python or Java, and familiarity with AI frameworks and tools for code optimization.
Preferred Qualifications : - Experience with generative AI tools specifically designed for code analysis and optimization.
- Knowledge of software testing methodologies and performance profiling tools.
- Familiarity with Agile development practices.
Key Responsibilities : Automated Code Analysis : - Utilize generative AI tools to analyze existing codebases for inefficiencies and suggest optimizations.
Performance Improvement : - Implement optimizations that enhance execution speed, reduce memory usage, and lower operational costs.
Collaboration with Development Teams : - Work closely with software developers to integrate optimization suggestions into the development workflow.
Continuous Monitoring : - Employ AI-driven monitoring tools to assess code performance over time and identify new optimization opportunities.
Documentation and Reporting : - Maintain clear documentation of optimization processes, methodologies, and results for future reference (ref:hirist.tech)
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Generative Ai Developer - Python Programming, Any Location
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Generative Ai Developer - Python Programming, Any Location
India, Any Location, Any Location,
Modified November 28, 2024
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