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As a Junior Python and GenAI Developer, you will play a crucial role in designing, developing, and deploying AI-powered applications. You will work closely with senior engineers and data scientists to build robust, scalable, and efficient systems, with a particular focus on Python-based development and integrating Generative AI models. This is an excellent opportunity for an aspiring developer to gain hands-on experience with advanced AI technologies and contribute to impactful projects.
Job Responsibility:
Write clean, maintainable, and efficient code in Python for various applications and services
Assist in the integration, fine-tuning, and deployment of Generative AI models (e.g., Large Language Models, Diffusion Models) into existing or new platforms
Work with data pipelines, perform data preprocessing, and ensure data quality for AI model training and inference
Collaborate with cross-functional teams, including product managers, designers, and other engineers, to understand requirements and deliver solutions
Participate in testing, debugging, and troubleshooting software and AI model issues
Create and maintain technical documentation for code, models, and system architectures
Continuously learn and stay updated with the latest trends and advancements in Python programming, AI, and GenAI.
Requirements:
3+ years experience in Python Development
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field
Proficiency in Python is essential, with a good understanding of object-oriented programming principles
Basic understanding of machine learning concepts, algorithms, and workflows
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus
Demonstrated interest or experience (e.g., academic projects, personal projects) in Generative AI techniques and models
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Ability to work effectively in a collaborative team environment.
Nice to have:
Experience with cloud platforms (e.g., AWS, Azure, GCP)
Familiarity with version control systems (e.g., Git)
Experience with RESTful APIs and microservices
Understanding of MLOps principles
Contributions to open-source projects or a strong GitHub portfolio.