ML Engineer

1. Design develop and deploy machine learning models and algorithms.
2. Analyze large datasets to derive insights and identify opportunities for optimization.
3. Collaborate with crossfunctional teams including data scientists software engineers and domain experts to deliver endtoend ML solutions.
4. Utilize various machine learning techniques such as supervised learning unsupervised learning and deep learning.
5. Evaluate and experiment with different ML frameworks and tools to enhance model performance and scalability.
6. Implement best practices for data preprocessing feature engineering and model evaluation.
7. Work closely with stakeholders to understand business requirements and translate them into technical solutions.
8. Stay updated with the latest advancements in machine learning research and technologies.

1. Bachelor s or Master s degree in Computer Science Engineering Mathematics or related field.
2. Proven experience in developing and deploying machine learning models in a production environment.
3. Proficiency in programming languages such as Python R or Scala.
4. Strong understanding of machine learning algorithms and statistical methods.
5. Handson experience with ML libraries/frameworks such as TensorFlow PyTorch scikitlearn etc.
6. Experience with cloud platforms such as AWS Azure or Google Cloud Platform.
7. Excellent problemsolving skills and attention to detail.
8. Effective communication skills and the ability to collaborate with crossfunctional teams.
9. Prior experience working in a remote setting or across different time zones is a plus.

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