Advanced AI Engr

We are looking for a dynamic and experienced Full Stack .NET Developer to join our engineering team. This role demands strong technical expertise across the stack—C#, React.js, Python, PostgreSQL—and a deep understanding of microservice architecture and RESTful API design. The ideal candidate will also bring hands-on experience in AI/ML, Generative AI, and containerization technologies, with a passion for research and innovation.

Key Responsibilities:

• Design, develop, and maintain full-stack applications using .NET (C#), React.js, and Python.
• Architect and implement microservices-based solutions with PostgreSQL as the backend.
• Build and consume RESTful APIs for internal and external integrations.
• Apply AI/ML and GenAI concepts to enhance application intelligence and automation.
• Research and implement machine learning algorithms and tools aligned with business goals.
• Manage and direct R&D processes to support the organization’s AI strategy.
• Develop machine learning applications tailored to project requirements.
• Perform ML tests and statistical analysis to fine-tune systems.
• Select appropriate datasets and data representation methods.
• Extend and optimize existing ML libraries and frameworks.
• Train and retrain ML systems as needed.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Use GitHub Copilot to accelerate development and improve code quality.
• Participate in code reviews, testing, and deployment processes.
• Ensure performance, scalability, and security of applications.

Required Skills:

• Proficiency in C#/.NET Core , React.js , and Python .
• Experience with PostgreSQL and relational database design.
• Strong understanding of Microservice Architecture and RESTful API development.
• Hands-on experience with Docker and Kubernetes .
• Familiarity with GitHub Copilot and AI-assisted coding tools.
• Experience with Keras , PyTorch , and other ML frameworks.
• Exposure to AI/ML and Generative AI concepts.
• Ability to conduct ML research and implement algorithms.
• Skilled in statistical analysis and model fine-tuning.
• Knowledge of data selection and representation techniques.
• Experience in extending ML libraries and retraining models.
Solid grasp of software engineering best practices and agile methodologies.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience with cloud platforms (Azure, AWS, GCP).
• Contributions to open-source projects or technical blogs.