Description

Design, develop, and maintain AI/ML-based cloud application features using Python and Golang. You will own the end-to-end lifecycle of GenAI modules, from architecture to deployment, ensuring adherence to security policies and best practices.

Responsibilities

• Develop and maintain GenAI/cloud application modules using Python, Golang, and Kubernetes.
• Design and implement prompt engineering strategies and ML models using Scikit-learn and Pandas.
• Create, execute, and automate test plans for assigned code portions and deployment environments.
• Troubleshoot application issues and optimize cloud-native architectures for performance and security.
• Collaborate with peers to review technical ideas and refine distributed computing solutions.

Required Skills

• 1-3 years of hands-on experience in AI/ML and cloud development.
• Proficiency in Python and Golang for backend services and microservices.
• Strong understanding of GenAI, Prompt Engineering, and Machine Learning fundamentals.
• Experience with Cloud Computing, Kubernetes, and DevOps practices.
• Familiarity with Jupyter Notebooks, Scikit-learn, Pandas, and NumPy.
• Bachelor's degree in Computer Science, Engineering, or a related quantitative discipline.
• Ability to analyze complex data processing problems and design scalable solutions.
• Knowledge of security-first mindsets and release management.

Preferred Skills

• Master's degree in a relevant technical field.
• Experience with full-stack development, microservices, and next-generation databases.
• Familiarity with design thinking and cross-domain application development.

Key Skills

Education

Any Graduate