
Chief Machine Learning Architect
2 weeks ago
Unlock Your Potential as a Machine Learning Engineer
We are seeking an experienced Machine Learning Engineer to join our advanced analytics and AI team.
- 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.
Requirements:
- 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.
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).
- Strong analytical, problem-solving, and communication skills.
- Collaborative mindset with ability to work in cross-functional teams.
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