
Advanced AI Model Developer
2 days ago
We are seeking an experienced Senior Machine Learning Engineer to fill a key role in our advanced analytics and AI team.
The ideal candidate will design, develop, and deploy machine learning 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.
Key Responsibilities:- Design, build, and deploy scalable machine learning models for real-world applications.
- Develop and optimize end-to-end machine learning 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 machine learning 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.
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields.
- Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
- Strong analytical, problem-solving, and communication skills.
- Collaborative mindset with ability to work in cross-functional teams.
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