
AI Model Developer
3 days ago
Machine Learning Engineer Role Summary
We are seeking an experienced Machine Learning Engineer to join our team. This is an exciting opportunity to work on cutting-edge projects in a fast-paced environment.
- Design and develop 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 Large Language Models (LLMs).
- Collaborate with data engineers, product managers, and software developers.
- Monitor and improve model performance for accuracy, scalability, and reliability.
Key Responsibilities:
Our ideal candidate will have the following skills and qualifications:
- 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.
- Knowledge of MLOps principles and deployment best practices.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields.
- Experience with cloud ML platforms.
- Strong analytical, problem-solving, and communication skills.
- Collaborative mindset with ability to work in cross-functional teams.
Preferred Qualifications:
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