AI Model Developer
6 days ago
We are seeking a skilled Machine Learning Engineer to join our advanced analytics and AI team.
The ideal candidate will design, develop, and deploy scalable ML models for real-world applications using modern ML frameworks such as PySpark and MLflow.
This is 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.
- Programming Expertise: Strong expertise in Python programming language.
- Machine Learning Algorithms: Solid understanding of machine learning algorithms and model evaluation techniques.
- Data Processing: Experience with big data processing using PySpark.
- ML Lifecycle Management: Proficiency with MLflow for model lifecycle management.
- Preferred Qualifications: 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).
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