
AI/ML Model Deployment Specialist
1 day ago
Job Title: AI/ML Model Deployment Specialist
About the RoleWe are seeking a highly skilled AI/ML Model Deployment Specialist to join our team. As an MLOps Engineer, you will be responsible for designing, implementing, and managing machine learning models across various applications.
Responsibilities- Prepare, clean, and process large datasets; build and maintain data pipelines.
- Develop and implement machine learning models for classification, regression, clustering, recommendations, and other applications.
- 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.
- 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, with a focus on building production-ready models.
- Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques.
- Proven ability to deploy and manage AI/ML solutions on major cloud platforms.
- Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow.
You will have the opportunity to work with a talented team of engineers and scientists, learn from industry experts, and contribute to cutting-edge projects. We offer competitive compensation and benefits packages, as well as opportunities for professional growth and development.
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