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Artificial Intelligence Machine Learning Engineer - Hire Feed
Machine Learning Engineer
Machine Learning Engineer to develop and deploy AI models, optimize ETL pipelines, and enhance model performance through Python and advanced ML libraries.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to address complex business and technical challenges in alignment with AI system requirements.
- Collaborate with cross-functional teams to translate domain-specific expertise into structured training data, evaluations, and feedback loops that enhance AI model performance.
- Implement, optimize, and maintain ETL processes to ensure efficient data ingestion, transformation, and management for AI model training.
- Utilize Python and relevant libraries to create clean, efficient, and reusable code for machine learning applications and data pipelines.
- Continuously monitor, evaluate, and improve the accuracy and performance of deployed AI models through rigorous testing and iterative refinement.
Requirements
- Proficiency in Python and familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, with experience in model development and deployment.
- Strong understanding of ETL processes, data pipelines, and tools for data ingestion, transformation, and management in AI applications.
- Experience in developing and optimizing machine learning models, including feature engineering, model training, and evaluation.
- Ability to collaborate effectively with technical and non-technical stakeholders to translate domain knowledge into actionable AI inputs.
- Familiarity with data quality assessment, performance monitoring, and iterative improvement of AI models in production environments.
Skills
pythonmachine learningetl pipelinestensorflowpytorchdata quality assessment