
AI/ML Engineering Specialist
1 day ago
Key Responsibilities:
Develop and maintain large-scale data pipelines to process, clean, and prepare datasets for machine learning model training.
Design and implement various machine learning models (classification, regression, clustering, recommendations) using Python and leveraging MLOps frameworks such as Kubeflow, MLFlow, DataRobot, Airflow.
Engineer features and optimize model performance through hyperparameter tuning and validation techniques.
Automate model building, training, and deployment by designing and implementing CI/CD/CT Pipelines.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
3-5 years of hands-on experience in AI/ML engineering and Python with a focus on building production-ready models.
Strong 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.
Proficiency in containerization technologies like Docker and Kubernetes, OpenShift.
✏ Competitive compensation and benefits package.
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