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.
Key Responsibilities:
- Software Development: Write clean, maintainable, and efficient code in Python for various applications and services.
- Generative AI Implementation: Assist in the integration, fine-tuning, and deployment of Generative AI models (e.g., Large Language Models, Diffusion Models) into existing or new platforms.
- Data Handling: Work with data pipelines, perform data preprocessing, and ensure data quality for AI model training and inference.
- Collaboration: Collaborate with cross-functional teams, including product managers, designers, and other engineers, to understand requirements and deliver solutions.
- Testing and Debugging: Participate in testing, debugging, and troubleshooting software and AI model issues.
- Documentation: Create and maintain technical documentation for code, models, and system architectures.
- Learning & Growth: Continuously learn and stay updated with the latest trends and advancements in Python programming, AI, and GenAI.
Qualifications:
- Experience: 3+ years experience in Python Development
- Education: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
- Programming Skills: Proficiency in Python is essential, with a good understanding of object-oriented programming principles.
- AI/ML Fundamentals: Basic understanding of machine learning concepts, algorithms, and workflows. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Generative AI Interest: Demonstrated interest or experience (e.g., academic projects, personal projects) in Generative AI techniques and models.
- Problem-Solving: Strong analytical and problem-solving skills.
- Communication: Excellent verbal and written communication skills.
- Team Player: Ability to work effectively in a collaborative team environment.
Preferred Qualifications (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.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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