AppSierra
Linkedin · Posted 5mo ago
AI ML Engineer
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Indexed description
Responsibilities
- Design and implement machine learning algorithms and models to solve complex business problems.
- Collaborate with cross-functional teams to understand data requirements and develop predictive models.
- Conduct research to identify emerging trends and applications of AI and machine learning technologies.
- Evaluate and improve model performance through rigorous testing and optimization techniques.
- Develop and maintain scalable data pipelines and architectures for machine learning applications.
- Deploy machine learning models into production environments and ensure their reliability and performance.
- Document technical processes, model development approaches, and project outcomes for knowledge sharing and future reference.
- Bachelor's or Master's degree in Computer Science, Mathematics, Data Science, or a related field.
- Proven experience working with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong programming skills in languages such as Python, R, or Java, with a solid understanding of data structures and algorithms.
- Experience with data manipulation and analysis using tools like SQL, Pandas, or NumPy.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
- Knowledge of statistical methods and their application in model evaluation and validation.
- Excellent problem-solving skills, with the ability to work independently and as part of a team.
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