
Advanced Analytics and AI Engineer
3 days ago
We are seeking a seasoned Machine Learning Engineer to join our advanced analytics and AI team.
The ideal candidate will design, develop, and deploy ML models at scale, working with large datasets and leveraging modern ML frameworks.
Hands-on experience with Large Language Models (LLMs) such as OpenAI or Hugging Face is highly desirable.
This role offers an exciting opportunity to work on cutting-edge projects in a fast-paced environment.
Key Responsibilities- Design, build, and deploy scalable ML models for real-world applications.
- Develop and optimize end-to-end ML pipelines using PySpark and MLflow.
- Process structured and unstructured data with Pandas, NumPy, and other libraries.
- Train, evaluate, and fine-tune models using scikit-learn, TensorFlow, or PyTorch.
- Integrate and experiment with LLMs (e.g., OpenAI GPT, Hugging Face Transformers).
- Collaborate with data engineers, product managers, and software developers.
- Monitor and improve model performance for accuracy, scalability, and reliability.
- Ensure reproducibility and version control of ML experiments using MLflow.
- 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 with Pandas, NumPy, Scikit-learn.
- Familiarity with LLMs (OpenAI, Hugging Face Transformers).
- Knowledge of MLOps principles and deployment best practices.
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