
Senior AI Model Developer
17 hours ago
This role involves building scalable and deployable machine learning models, particularly focusing on Generative AI.
The key responsibilities include:
- Developing model pipelines in Python, using frameworks like FastAPI for API exposure and ensuring the implementation of embedding layers and vector databases for high-performance retrieval and similarity search.
- Architecting Retrieval-Augmented Generation systems integrated into agentic workflows and vector databases for embeddings and retrieval.
- Maintaining modular software in a full software lifecycle practice (design, coding, unit testing, CI/CD) to ensure reliability and test coverage.
- Staying updated with the latest advancements in AI/ML technologies, mentoring junior engineers, proposing architectural improvements, and participating in code reviews.
The ideal candidate will have expertise in Python or equivalent programming languages, proficiency in AI/ML frameworks and libraries, understanding of Agentic AI concepts, and hands-on experience with ADK, LangChain, and related tools. Strong problem-solving skills and ability to think critically are also essential.
Requirements:- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning (or related field) + 8 years of DevOps experience, Master's + 6 years of related experience, or PhD + 3 years of related experience.
- Expert-level proficiency in AI/ML frameworks and libraries, including Scikit-learn, PyTorch, TensorFlow, and others.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of model versioning and ML lifecycle management.
- Strong analytical and problem-solving skills, with the ability to think creatively.
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