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Machine Learning Engineer Quantization Jobs in Minnesota

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Showing results 21-40

Machine Learning Engineer Quantization information

What does a machine learning engineer quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What are some common challenges machine learning engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What cities in Minnesota are hiring for Machine Learning Engineer Quantization jobs?

Cities in Minnesota with the most Machine Learning Engineer Quantization job openings:

Senior Machine Learning Engineer

Tennant Company

Golden Valley, MN • On-site

$119.64 - $122.60/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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Tennant Company rating

7.8

Company rating: 7.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

213th of 490 rated machine equipment manufacturers


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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: 1) 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. 2) Developing and maintaining NLP (Natural Language Processing) multi-class classification and predictive maintenance models. 3) Implementing knowledge of ML techniques/algorithms, including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as Azure ML or AWS SageMaker. 5) Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools. 6) 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. Please apply online at https://jobs.tennantco.com/ . Benefits = A comprehensive benefits package including health insurance, 401(k), disability, life insurance, paid time off, and voluntary 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…

Discoverfulfilling work with opportunities for growth and meaningful recognition.

Drivethe quality and innovation our customers rely on in our products and services.

Connectwith people who care about each other, ourbrandsand 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.

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