Description

•           Design, develop, and deploy machine learning models and AI-powered applications.

•           Build scalable, high-performance solutions using Python and modern software engineering practices.

•           Develop and maintain REST APIs and microservices that support critical business operations.

•           Work with diverse data sources including text, voice, image, and structured datasets.

•           Collaborate with cross-functional teams to identify opportunities for automation, optimization, and intelligent decision-making.

•           Own production systems, including monitoring, troubleshooting, and continuous improvement.

•           Translate ambiguous business requirements into end-to-end technical solutions.

•           Write clean, maintainable, and reusable code while following agile development practices.

•           3–5 years of professional software engineering experience.

•           Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field, or equivalent practical experience.

•           Strong hands-on experience with Python for data-intensive and high-performance applications.

•           Experience building and deploying production machine learning solutions.

•           Knowledge of C# and ASP.NET.

•           Experience developing REST APIs and microservices.

•           Proficiency with MySQL and Redis.

•           Experience with at least one deep learning framework such as PyTorch, TensorFlow, or JAX.

•           Strong understanding of statistics, data analysis, model evaluation, and performance optimization.

•           Large Language Models (LLMs) and Generative AI

Key Skills

Education

Bachelor's degree