Machine Learning Engineer

March 28

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ArcheHealth

ArcheHealth is a company focused on improving healthcare outcomes through innovative solutions and technologies. It specializes in providing healthcare services and products that enhance patient care and streamline healthcare operations.

πŸ“‹ Description

β€’ Develop and deploy machine learning models, algorithms, and solutions to solve complex business problems. β€’ Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization. β€’ Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions. β€’ Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models. β€’ Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy. β€’ Stay updated on the latest trends in machine learning, AI technologies, and incorporate innovative approaches into our projects. β€’ Conduct thorough model evaluation, testing, and validation to ensure the robustness and effectiveness of the solutions. β€’ Document and communicate technical concepts, methodologies, and findings to stakeholders and team members.

🎯 Requirements

β€’ Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field β€’ 3 to 5 years of experience in machine learning, deep learning, and artificial intelligence roles, with a proven track record of developing and deploying machine learning models β€’ Strong programming skills in Python, R, C, C++, SQL, or Java, with experience using machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch β€’ Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques β€’ Experience with big data technologies like Apache Kafka, Spark, and cloud computing platforms β€’ Excellent problem-solving skills, analytical thinking, and attention to detail β€’ Strong communication and collaboration skills to work effectively in a team environment

πŸ–οΈ Benefits

β€’ Competitive salary and benefits package for FTEs β€’ Opportunities for professional growth and development β€’ Collaborative and innovative work environment

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