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Machine learning engineer • downey ca
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We are seeking a talented and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be an integral part of our collaborative team, responsible for designing, developing, and deploying machine learning models and systems. You will work closely with data scientists, software engineers, and other stakeholders, contributing your expertise to ensure that our machine-learning models are effective and scalable.
Responsibilities :
1. Design, develop, and implement machine learning algorithms and models.
2. Collaborate with data scientists to understand their models and translate them into production-ready systems.
3. Build and maintain data pipelines for feeding machine learning models.
4. Develop and maintain machine learning infrastructure, including cloud platforms and distributed computing systems.
5. Monitor and evaluate the performance of machine learning models in production.
6. Stay up-to-date on the latest advancements in machine learning and apply them to our work.
7. Contribute to the development of machine learning tools and libraries.
Qualifications :
1. Bachelor's degree or Master's degree in Computer Science, Engineering, or a related field.
2. Proven experience in designing, developing, and deploying machine learning models.
3. Strong programming skills in Python, Java, or C++.
4. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
5. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
6. Strong understanding of data structures, algorithms, and statistical methods.
7. Excellent communication and collaboration skills.
Preferred Skills :
1. Experience with distributed computing systems such as Spark or Hadoop.
2. Experience with machine learning models for specific applications, such as computer vision, natural language processing, or recommendation systems.
3. Experience with data visualization and reporting tools.
THIS REMOTE POSITION IS ONLY OPEN TO CANDIDATES RESIDENT AND AUTHORIZED TO WORK IN THE UNITED STATES.