Machine Learning Engineer – Remote
Job Description
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We are seeking an innovative Machine Learning Engineer to design, develop, and deploy scalable AI solutions. The ideal candidate will be proficient in Machine Learning, Deep Learning, and Artificial Intelligence frameworks, with the ability to transform complex datasets into intelligent systems that drive business growth.
🔹 Key Responsibilities:
- Build, train, and optimize Machine Learning models using Python, R, and SQL.
- Implement Deep Learning algorithms with TensorFlow, PyTorch, and Keras.
- Design and manage Data Pipelines for large-scale model training.
- Collaborate with Data Scientists and Data Engineers to operationalize models.
- Deploy Machine Learning solutions on Cloud Platforms (AWS, Azure, Google Cloud).
- Conduct research on emerging AI technologies and integrate them into production systems.
🔹 Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Strong coding skills in Python, R, and Java.
- Proven expertise with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience in Natural Language Processing (NLP) and Computer Vision is a plus.
- Knowledge of Data Engineering and Big Data technologies (Hadoop, Spark, Kafka).
- Strong mathematical foundation in statistics, probability, and linear algebra.
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