Job Title: Machine Learning Engineer

Company Name: ArcheHealth

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/yebrdawcruybsxdj

Job Description: Posted 1y agoMachine Learning Engineer@ ArcheHealthView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Develop models, Deploy models, Collaborate teamsRequirements Summary:Bachelor's or Master's in CS/ML/Statistics; 3-5 years ML/DL; Python/R/C/C++/SQL/Java; TensorFlow/Keras/PyTorch; data preprocessing; big data; cloud; collaboration.Technical Tools Mentioned:Python, R, C, C++, SQL, TensorFlow, Keras, PyTorch, Apache Kafka, Spark, Cloud computing
About the roleWe are seeking a highly motivated Machine Learning Engineer to join a start-up engineering team working in stealth mode. The ideal candidate will have a solid background in machine learning, deep learning, and artificial intelligence, and a strong interest in developing scalable and efficient machine-learning models. As a Machine Learning Engineer, you will be involved in cutting-edge projects aimed at providing data-driven solutions and delivering valuable insights for our organization and customers.What you'll doDevelop and deploy machine learning models, algorithms, and solutions to solve complex business problems.Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization.Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions.Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models.Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy.Stay updated on the latest trends in machine learning, AI technologies, and incorporating innovative approaches into our projects.Conduct thorough model evaluation, testing, and validation to ensure the robustness and effectiveness of the solutions.Document and communicate technical concepts, methodologies, and findings to stakeholders and team members.Describe the specific responsibilities and job functions of the roleQualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. 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.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.Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.Experience with big data technologies like Apache Kafka, Spark, and cloud computing platforms.Excellent problem-solving skills, analytical thinking, and attention to detail.Strong communication and collaboration skills to work effectively in a team environment.Describe the experience and attributes of the ideal candidateBenefitsCompetitive salary and benefits package for FTEsOpportunities for professional growth and developmentCollaborative and innovative work environment