AI Developer

We are looking for a skilled and motivated Software Developer to be a part of our AI team. As a Software Developer, you will be involved in the design, development, and deployment of cutting-edge AI-powered applications. Collaborating with data scientists, software engineers, and product teams, you will contribute to the creation of scalable, efficient, and impactful AI solutions across various domains. Your responsibilities will include developing, testing, and deploying AI-driven applications and services. You will work closely with cross-functional teams to integrate AI models into production systems, design and implement APIs, microservices, and user-facing components. Additionally, you will be involved in working with large-scale data processing pipelines and model inference systems to optimize application performance, scalability, and maintainability. Writing clean, well-documented, and efficient code will be a key aspect of your role, along with participating in code reviews, testing, and system debugging. It is essential to stay updated with the latest AI technologies and development practices to excel in this position. The ideal candidate should have a Bachelors or Masters degree in Computer Science, Software Engineering, or a related field, along with at least 3 years of professional experience in software development. Strong proficiency in Python, Java, and other modern programming languages is required, as well as experience with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, and Scikit-learn. Familiarity with RESTful APIs, microservices, and containerization (Docker, Kubernetes) is a plus. A solid understanding of software development best practices, version control (Git), and Continuous Integration/Continuous Development (CI/CD) pipelines is also necessary. Preferred qualifications for this role include a background in NLP and generative AI applications, experience in integrating machine learning models into production environments, familiarity with cloud platforms (AWS, GCP, or Azure), understanding of MLOps practices and tools, and experience working in an Agile development environment.,