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🔍 Recovery management
- Experienced in machine learning techniques and algorithms with 3-5 years of hands-on experience.
- Proficient in programming languages such as Python, R, or Scala.
- Solid experience in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiar with cloud platforms like Azure, AWS, or GCP.
- Skilled in data manipulation and analysis using SQL, Pandas, or Spark.
- Strong analytical thinking and problem-solving skills.
- A collaborative team player with strong communication skills.
- Self-motivated and continuously learning.
- Detail-oriented with a focus on code reliability and model accuracy.
- Open to feedback and continuous improvement.
- Flexible and eager to take on diverse tasks.
- Design, develop, and deploy machine learning models to solve complex business problems.
- Collaborate with data engineers, software engineers, and product teams to define requirements.
- Optimize and tune models for performance, scalability, and accuracy.
- Develop and maintain scalable machine learning pipelines.
- Integrate machine learning models into production systems.
- Conduct exploratory data analysis (EDA) to identify insights.
- Monitor and evaluate model performance in production environments.
- Stay updated with advancements in ML techniques.
- Contribute to technical discussions on machine learning architecture.
- Mentor junior engineers and collaborate on code reviews.
AWSPythonSQLData AnalysisGCPMachine LearningPyTorchAlgorithmsAzureData analysisData StructuresPandasSparkTensorflowCI/CD
Posted 2024-10-17
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