Senior Generative AI Developer
1 month ago
Job Summary :
As a Senior Generative AI Developer, you will play a pivotal role in designing, developing, and deploying advanced generative AI models. You will be responsible for leveraging RAG (Retrieval-Augmented Generation) and GraphRAG models to create sophisticated AI-driven solutions. This role requires a deep understanding of generative models, machine learning algorithms, and the ability to work on complex AI projects.
Key Responsibilities :
1. Model Development :
- Design, develop, and optimize generative AI models with a strong focus on RAG and GraphRAG.
- Implement state-of-the-art techniques for retrieval-augmented generation and graph-based AI models.
2. Advanced AI Techniques :
- Apply RAG models to enhance information retrieval and generation tasks, improving the quality and accuracy of AI outputs.
- Leverage GraphRAG to integrate graph structures into generative models for more complex and contextual AI solutions.
3. Data Handling :
- Collect, preprocess, and manage large datasets for training and fine-tuning AI models.
- Perform data augmentation and ensure data integrity to maximize model performance.
4. Deployment :
- Deploy AI models into production environments, ensuring scalability, efficiency, and reliability.
- Collaborate with DevOps teams to seamlessly integrate models into existing systems and workflows.
5. Research and Innovation :
- Stay updated with the latest research in generative AI, RAG, and GraphRAG, and apply new methodologies to improve model outcomes.
- Experiment with different model architectures and approaches to achieve optimal results.
6. Collaboration :
- Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver AI-driven solutions.
- Mentor and guide junior developers in generative AI techniques and best practices.
Required Skills and Qualifications :
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience: 5+ years of experience in AI/ML development, with a strong focus on generative AI.
Technical Skills :
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Extensive experience with RAG (Retrieval-Augmented Generation) and GraphRAG models.
- Deep understanding of machine learning algorithms, natural language processing (NLP), and data retrieval techniques.
- Experience in handling and processing large datasets for AI model training.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Problem-Solving: Strong analytical and problem-solving skills with a focus on innovative AI solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex AI concepts to non-technical stakeholders.
- Leadership: Proven ability to lead AI projects and mentor junior team members.
Preferred Skills :
- Publications: Research publications in AI/ML conferences or journals, particularly in the areas of RAG or GraphRAG.
- Advanced Techniques: Experience with reinforcement learning, unsupervised learning, or graph-based learning models.
- Agile Methodologies: Experience working in Agile/Scrum environments.
- Version Control: Proficiency with Git and other version control systems.
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