Advanced Data Scientist Leader
5 days ago
We are seeking an experienced Senior Machine Learning Engineer to join our advanced analytics and AI team.
- To succeed in this role, you will design, develop, and deploy machine learning models at scale, working with large datasets and leveraging modern machine learning frameworks.
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 Large Language Models (LLMs).
- 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.
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 Large Language Models (OpenAI, Hugging Face Transformers).
- Knowledge of MLOps principles and deployment best practices.
Benefits:
- Candidate should have a strong background in computer science or related field.
- Candidates who have experience working with cloud platforms like AWS SageMaker, Azure ML, GCP Vertex AI will be given preference.
We Offer:
- An opportunity to work with a diverse team of professionals.
- A chance to learn and grow within the organization.
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