
Senior Artificial Intelligence Model Architect
2 days ago
Artificial Intelligence Engineer Role Overview:
We seek an experienced engineer to design, develop, and deploy machine learning models at scale. The ideal candidate will work with large datasets and leverage modern AI frameworks.
Key Responsibilities:
- 1. Design, build, and deploy scalable machine learning models for real-world applications.
- 2. Develop and optimize end-to-end machine learning pipelines using PySpark and MLflow.
- 3. Process structured and unstructured data with Pandas, NumPy, and other libraries.
- 4. Train, evaluate, and fine-tune models using scikit-learn, TensorFlow, or PyTorch.
- 5. Integrate and experiment with Large Language Models (LLMs).
- 6. Collaborate with data engineers, product managers, and software developers.
- 7. Monitor and improve model performance for accuracy, scalability, and reliability.
- 8. Ensure reproducibility and version control of machine learning experiments using MLflow.
Required Skills:
- Strong programming expertise in Python.
- Solid understanding of machine learning algorithms and model evaluation techniques.
- Experience with PySpark for big data processing.
- Proficiency with MLflow for model lifecycle management.
- Strong hands-on experience with Pandas, NumPy, Scikit-learn.
- Familiarity with LLMs.
- Knowledge of MLOps principles and deployment best practices.
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields.
- Experience with cloud AI platforms.
- Strong analytical, problem-solving, and communication skills.
- Collaborative mindset with ability to work in cross-functional teams.
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