
Artificial Intelligence Machine Learning Expert
3 days ago
As a skilled AI/ML Engineer with MLOps, you will play a pivotal role in developing and implementing machine learning models for various applications. Your expertise in building production-ready models, deploying and managing AI/ML solutions on major cloud platforms, and applying MLOps principles and tools will drive business growth.
Key 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.
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, with a demonstrable 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 at least one major cloud platform.
- Experience with MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, containerization Docker, and Kubernetes, OpenShift.
Benefits:
- Opportunity to work on cutting-edge AI/ML projects.
- Collaborative environment with experienced professionals.
- Professional growth and development opportunities.
Other Opportunities:
- Participate in conferences, workshops, and training sessions to stay updated on the latest AI/ML trends.
- Contribute to open-source projects and share knowledge with the community.
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