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Solutions Architect - Machine Learning - Minneapolis

$150,000 - 190,000
Jobot
American Boulevard West 3600, Minneapolis
$150,000 - 190,000
Company Size icon
Company Size
1k-5k
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Minimum of 6 years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer - Proficient in deploying machine learning models in production settings - Strong programming abilities in Python, Scala, Java, or equivalent languages - Experience in constructing and managing robust data pipelines and distributed architectures - Solid SQL skills with a focus on optimizing complex queries - Familiarity with contemporary data platforms such as Spark, Snowflake, or Databricks - Knowledge of cloud environments (AWS, Azure, or GCP) and data systems in production - Experience in developing APIs and backend services (e.g., Flask, Django, Spring) - Excellent communication capabilities, comfortable engaging with both technical and business stakeholders - (Nice to have) Advanced degree in data science or related discipline - (Nice to have) Familiarity with ML frameworks like TensorFlow, Keras, or scikit-learn - (Nice to have) Experience with Docker and Kubernetes - (Nice to have) Exposure to AWS SageMaker, Azure ML, or similar enterprise ML platforms - (Nice to have) Contributions to open-source projects or relevant side projects

Responsibilities

- Design and implement comprehensive machine learning solutions, encompassing inference, retraining, monitoring, and lifecycle management - Architect and construct environments that allow data scientists to effectively develop and implement models - Define deployment strategies and infrastructure to ensure reliable model operations in production - Collaborate directly with customer systems to extract, transform, and prepare data for analytics and machine learning applications - Work in partnership with data scientists to transition experimental models into scalable and maintainable solutions - Formulate operational testing strategies and oversee quality assurance, validation, deployment, and continuous optimization - Provide technical thought leadership across application, data, and infrastructure domains

Description


We are a remote-first, globally recognized leader in the modern data stack, collaborating with influential cloud and data platforms to tackle complex data and machine learning challenges. Our teams operate at the intersection of data engineering, analytics, and machine learning, designing and executing real-world solutions that move beyond experimentation into production. With members across the U.S., Latin America, and India, we pride ourselves on nurturing a culture that celebrates technical curiosity, ownership, trust, and collaboration. Our dynamic work environment fosters top talent to excel and make an impact. We offer a highly competitive salary, remote working flexibility within the U.S., and opportunities for career advancement amid significant company growth.
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You can find Machine Learning Engineer salaries in the United States here.

How many Machine Learning Engineer jobs are in the United States?

Currently, there are 1184 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.

Is the US a good place for Machine Learning Engineers?

The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Machine Learning Engineer jobs in the United States?

Nurse Next Door, Asset Inventories Inc., Snaplii, Frontier Dental Supply, LYNKED Inc., D3 Security Management Systems, Infinity Technologies among others, are currently hiring for ML, AI roles in the United States.

The company with most openings is Jobot as they are hiring for 148 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.