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Remote Machine Learning Architect Jobs in Missouri

Imagery Scientist (EO) - Senior

Saint Louis, MO · Remote

$89K - $121.50K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

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Showing results 1-20

Remote Machine Learning Architect information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

How does a Remote Machine Learning Architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is a Remote Machine Learning Architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What are popular job titles related to Remote Machine Learning Architect jobs in Missouri? For Remote Machine Learning Architect jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Remote Machine Learning Architect jobs? Cities in Missouri with the most Remote Machine Learning Architect job openings:
Infographic showing various Remote Machine Learning Architect job openings in Missouri as of May 2026, with employment types broken down into 1% Internship, 29% Full Time, 62% Part Time, 2% Temporary, and 6% Contract. Highlights an 13% Physical, 5% Hybrid, and 82% Remote job distribution.
Senior Data Platform Solution Architect

Senior Data Platform Solution Architect

Cigna

Saint Louis, MO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

32nd of 864 rated healthcare providers


Job description

We are looking for a Senior Data Platform Solution Architect (Architecture Senior Advisor) to design and deliver secure, scalable data and analytics solutions. This role helps turn business needs into clear, practical systems that support data use across the company. You will work closely with product, engineering, and architecture teams to make sure solutions are easy to build, cost-effective, and meet long-term goals.

Responsibilities:

  • Design data and analytics solutions from start to finish

  • Make sure solutions are secure, scalable, and aligned with company goals

  • Turn business needs into clear system designs that teams can build

  • Guide engineering teams to deliver strong, ready-to-use solutions

  • Design data platforms, including data flow, storage, and reporting

  • Support advanced analytics such as data products and AI/ML use cases

  • Work with teams to connect systems and improve data sharing across the company

  • Partner with enterprise architecture to follow standards and best practices

  • Review designs and ensure quality, security, and compliance

  • Communicate plans and decisions clearly to both technical and non-technical teams

  • Stay current on new tools and bring ideas to improve the data platform

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

  • 10+ years of experience building data platforms and analytics solutions

  • Experience with cloud data platforms such as AWS, Azure, or Databricks

  • Strong knowledge of data design, data models, and data pipelines

  • Experience working with data warehouses and analytics systems

  • Ability to turn complex ideas into clear, practical solutions

  • Strong communication and teamwork skills

Preferred:

  • Experience with healthcare data standards such as FHIR or HL7

  • Experience with AI, machine learning, or advanced analytics tools

  • Knowledge of data governance, data quality, or metadata management


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 138,600 - 231,000 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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