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Senior Machine Learning Engineer
3 weeks ago
We are seeking a highly skilled AI and ML engineer with experience in MLOps to enhance our organization's capabilities. The ideal candidate will have hands-on experience in building production-ready models, deploying and managing AI/ML solutions on major cloud platforms, and implementing MLOps principles and tools.
Main Responsibilities:
- Prepare, clean, and process large datasets; build and maintain data pipelines.
- Develop and implement machine learning models for various applications (classification, regression, clustering, recommendations, etc.).
- Engineer features and optimize model performance through hyperparameter tuning and validation.
- Automate model building, training, and deployment by building CI/CD/CT pipelines.
- Stay updated on new tools and techniques in machine learning and AI.
Required Skills and Qualifications:
- Bachelor's or Master's in Computer Science, Engineering, Mathematics, Statistics, or related field.
- 3-5 years of hands-on experience in AI/ML engineering and Python.
- Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG).
- Experience with MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow.
- Experience with containerization Docker and Kubernetes, OpenShift.
