Machine Learning Engineer

About the role

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. The role involves utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI. Responsibilities include participating and leading phases of the data science process, from data exploration and processing, feature selection and engineering, model training and testing, and information synthesis.

Responsibilities

• Utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI, and partnering with internal stakeholders to understand business needs, capture requirements, identify and prepare key data sources, develop and deploy data-driven ML solutions targeting specific business challenges.
• Developing and maintaining NLP (Natural Language Processing) multi-class classification and predictive maintenance models.
• Implementing knowledge of ML techniques/algorithms, including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection.
• Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as Azure ML or AWS SageMaker.
• Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools.
• Utilizing the following tools and technologies: Azure AI Foundry, Apache Hadoop, Spark, Kafka, HBase, Hive, Storm and managed services such as Azure HDInsight, Databricks and Azure Datafactory.

Requirements

• Master’s degree or equivalent in Computer Science, Data Science, Robotics, Statistics, or a related field and one (1) year of related software development experience.
• Demonstrated experience with each of the following:
• Utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI, and partnering with internal stakeholders to understand business needs, capture requirements, identify and prepare key data sources, develop and deploy data driven ML solutions targeting specific business challenges.
• Developing and maintaining NLP (Natural Language Processing) multi-class classification and predictive maintenance models.
• Implementing knowledge of ML techniques/algorithms, including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection.
• Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as Azure ML or AWS SageMaker.

Qualifications

• Experience may have been gained concurrently.

Skills

• Experience with Azure AI Foundry.
• Experience with Apache Hadoop, Spark, Kafka, HBase, Hive, Storm and managed services such as Azure HDInsight, Databricks and Azure Datafactory.

Benefits

• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, paid time off, and voluntary benefits!
• Total Compensation = Pay range + Benefits

Pay

$119,642 - $122,600/year

Schedule

This is a hybrid role with required 3 days onsite.

Application

Please apply online at https://jobs.tennantco.com/.