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Machine Learning Operations Manager Jobs in Austin, TX

Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They are seeking a Machine Learning Engineer to be a core ...

The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.

Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for ...

Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES Design and implement machine learning algorithms and models for various ...

Machine Learning Engineer

Austin, TX · On-site

$117K - $138K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will assist in designing, developing, and implementing machine learning models and ...

... fraud while managing the risks inherent to their business. We build and enhance products that ... As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ...

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Machine Learning Operations Manager information

What is the difference between Machine Learning Operations Manager vs Data Scientist?

AspectMachine Learning Operations ManagerData Scientist
Primary FocusOverseeing ML deployment, infrastructure, and operational workflowsAnalyzing data, building models, and deriving insights
Required SkillsML deployment, cloud platforms, DevOps, project managementStatistics, programming, data analysis, machine learning algorithms
Work EnvironmentCross-functional teams, engineering, IT infrastructureResearch, data analysis, model development
Common CertificationsCloud certifications, ML Ops certificationsData Science certifications, Python/R expertise

The Machine Learning Operations Manager primarily focuses on deploying and maintaining ML systems in production environments, ensuring operational efficiency. In contrast, Data Scientists concentrate on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly, making each essential in the AI and data ecosystem.

Machine Learning Engineer

Austin, TX • On-site

1872 Consulting
IT Services • 11 - 50 employees

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They are seeking a Machine Learning Engineer to be a core contributor to projects and deliver machine learning capabilities for customers, utilizing their technical and communication skills to provide reliable and scalable solutions.
Responsibilities:
• Integrate and apply Striveworks' proprietary data platform.
• Rapidly prototype and deliver machine learning capabilities for customers.
• Tackle real world problems as they unfold.
• Provide reliable and scalable solutions to customer locations.
Qualifications:
Required:
• Able and willing to travel domestically and internationally up to 10%
• B.S. Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience
• Excellence in Python
• Deep expertise in algorithms and data structures
• Exposure to DevOps tooling and best practices (Git, Docker, Kubernetes, CI/CD tools)
• Familiarity with relational and non-relational database design and architecture
• Familiarity with Javascript
Preferred:
• Experience with ETL/data pipelines
• Understanding of JavaScript frameworks (React, Vue, or Angular)
• Experience designing RESTful or GraphQL APIs
• Comfortable with Cloud Architecture
• Tensorflow/PyTorch experience
• Knowledge of messaging systems like Kafka, RabbitMQ, or similar
• GoLang/Flyte experience
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014