Machine Learning Engineer

Senior Machine Learning Engineer

With more than $1B in revenue, Tennant Company is a globally recognized leader in the cleaning equipment industry. For the past 150 years, we have been passionate about developing and manufacturing innovative and sustainable solutions for our customers. At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier world. With manufacturing, operations and sales, service, and support functions across the globe, your journey at Tennant can take you places you never expected. Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI. Participates and leads phases of the data science process, from data exploration and processing, feature selection and engineering, model training and testing, and information synthesis. Req: 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. Must also have 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. 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. All experience may have been gained concurrently. Experience may have been acquired before, during, or after completion of the Master's degree program. This is a hybrid role with required 3 days onsite. Salary: $119,642 - $122,600/year. Benefits = A comprehensive benefits package including health insurance, 401(k), disability, life insurance, paid time off, and voluntary benefits! Total Compensation = Pay range + Benefits Posted salary ranges are made in good faith. Tennant Sales and Service Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity. The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, up to 8 paid company holidays and 3 personal holidays per year, dental and vision coverage, wellness rewards, robust family support programs, company‑paid disability and life insurance, and a full Employee Assistance Program. Defining Our Employee Value Proposition At Tennant Company, we… Discover fulfilling work with opportunities for growth and meaningful recognition. Drive the quality and innovation our customers rely on in our products and services. Connect with people who care about each other, our brands and our communities. These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future. Together, they serve as guideposts for working with our customers, our partners and one another. Begin your journey with us. Let's reinvent how the world cleans. Equal Opportunity Employer Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.