Senior Machine Learning Engineer
Listed on 2026-07-10
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Machine Learning Engineer – Golden Valley, MN – Full‑time
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, to information synthesis.
Qualifications- Master’s degree or equivalent in Computer Science, Data Science, Robotics, Statistics, or related field.
- One (1) year of related software development experience.
- Demonstrated experience with:
- Utilizing emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI to partner with stakeholders, understand business needs, capture requirements, identify and prepare key data sources, and develop and deploy data‑driven ML solutions.
- Developing and maintaining NLP (Natural Language Processing) multi‑class classification and predictive maintenance models.
- Applying ML techniques/algorithms, including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection.
- Working with cloud platforms (Azure or AWS) and Machine Learning/Artificial Intelligence services such as Azure ML or AWS Sage Maker.
- Providing deep insights from business data using Power BI, Tableau, or similar business intelligence tools.
- Using tools and technologies such as Azure AI Foundry, Apache Hadoop, Spark, Kafka, HBase, Hive, Storm, Azure HDInsight, Databricks, and Azure Data Factory.
Salary: $119,642 – $122,600/year. Benefits include a comprehensive package with health insurance, 401(k), disability, life insurance, paid time off, and voluntary benefits. For more details, please apply online at
Equal Opportunity EmployerTennant Company is an equal opportunity employer. Employment decisions are based on 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.
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