Machine Learning Engineer - ML Applications
Required skills
Agile Methodology, Algorithms, Amazon Web Services, Apache Spark, Artificial Intelligence, Automation, Big Data, C++ (Programming Language), Computer Science, Data Science, Deep Learning, Java (Programming Language), Machine Learning, Microsoft Azure, Natural Language Processing, Python (Programming Language), PyTorch (Machine Learning Library), Scikit-learn (Machine Learning Library), Software Engineering, TensorFlow
Preferred skills
AWS Certified Machine Learning Specialty
Technologies
Apache Spark, Amazon Web Services, Microsoft Azure, Python (Programming Language), PyTorch (Machine Learning Library), Scikit-learn (Machine Learning Library), TensorFlow
Responsibilities
Develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models. Selects appropriate machine learning algorithms and techniques for specific tasks, such as classification, regression, clustering, or recommendation. Implements data pipelines to efficiently preprocess and transform machine learning data for training and inference. Performs feature engineering to extract relevant information from raw data, improving model performance. Explores, preprocesses, and analyzes data to ensure its quality, relevance, and suitability for model development. Lays down procedures for extensive data analysis, model development, and their practical implementations. Leads the integration of machine learning architecture into platforms and products for production. Collaborates with other researchers and engineers to develop experiments, prototypes, and concepts. Translates intricate business problems into actionable machine learning challenges.
Seniority
2-4 years of work experience
Domain
Machine Learning