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Remote Machine Learning Architect Jobs in Missouri

Jobgether

$48.50 - $64/hr

... flexible, remote-first environment. Accountabilities * Deliver technical presentations ... Design, architect, and guide the implementation of AI solutions, including machine learning ...

Kohl's

$58.50 - $75.25/hr

The Staff Data Architect will define enterprise standards, steward canonical data models, and ... Experience supporting analytics, machine learning, or AI workloads that depend on well-modeled ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ... architect role, focused on technical implementation and delivery. Excellent verbal and written ...

Eliassen Group

Senior AI/ML Engineer

Jefferson City, MO · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... Collaboration with product managers, architects, and cross-functional teams will ensure solutions ...

Kohl's

$165K - $212K/yr

Role Specific Information About the Role The VP, Data Architecture and Engineering is accountable ... Build and scale data science capabilities, including machine learning, AI-driven solutions, and ...

Jobgether

$80K - $110K/yr

... architectural customization. * Strong expertise with modern machine learning frameworks and ... Fully remote full-time position with flexibility to work from your preferred location.

Perficient

Data Architect - Azure and Big Data

Saint Louis, MO · On-site +1

$61.75 - $80.50/hr

Provide architectural assessments, strategies, and roadmaps for one or more technologies including ... Machine Learning Studio, HDInsight, Polybase, Azure Data Lake Analytics, Azure Data Warehouse ...

Jobgether

$79K - $104K/yr

From generative AI and machine learning systems to modern cloud-based architectures, you will help ... Serve as the primary technical authority for AI initiatives, providing guidance on architecture ...

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All JobsRemote Machine Learning Architect JobsRemote Machine Learning Architect Jobs in Missouri

Remote Machine Learning Architect information

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 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 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 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.
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 job categories do people searching Remote Machine Learning Architect jobs in Missouri look for? The top searched job categories for Remote Machine Learning Architect jobs in Missouri 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:
Remote Machine Learning Architect jobs near you

Specialist Solution Architect, AI - Ecosystem

Jobgether

Remote

$48.50 - $64/hr

Full-time

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Specialist Solution Architect, AI - Ecosystem based in Netherlands.

As a Specialist Solution Architect focused on AI, you will play a key role in helping technology partners adopt, implement, and scale cutting-edge AI solutions across diverse industries. This position combines technical expertise, pre-sales consulting, and ecosystem enablement, allowing you to influence AI strategy from evaluation through deployment. Working closely with partner organizations, data scientists, developers, architects, and business leaders, you will guide the design of innovative AI architectures, support proof-of-concepts, and drive successful adoption of open-source AI technologies. You will collaborate with global technical communities and engineering teams while contributing to the evolution of AI solutions and best practices. This is an exciting opportunity for an AI professional who enjoys combining hands-on technical work with customer engagement, thought leadership, and ecosystem development in a flexible, remote-first environment.

Accountabilities
  • Deliver technical presentations, demonstrations, workshops, and solution deep dives to partners and stakeholders, showcasing AI capabilities and business value.
  • Support pre-sales activities by contributing to technical proposals, architecture designs, RFIs, RFPs, and other solution-related documentation.
  • Collaborate with partner solution architects, account teams, and technical stakeholders to identify challenges, remove adoption barriers, and accelerate AI initiatives.
  • Design, architect, and guide the implementation of AI solutions, including machine learning pipelines, data architectures, model training environments, and deployment frameworks.
  • Support proof-of-concept projects, technical evaluations, hackathons, workshops, and innovation initiatives that demonstrate solution value and feasibility.
  • Drive ecosystem adoption by enabling partners to develop industry-specific AI use cases and scalable customer solutions.
  • Act as a trusted technical advisor, helping align AI strategies, business goals, and technology roadmaps across stakeholder groups.
  • Collaborate closely with product management, engineering, and technical teams to provide market feedback and contribute to product evolution.
  • Create reusable technical assets, best-practice documentation, templates, and enablement materials that support scalable partner success.
  • Mentor less-experienced team members and contribute to knowledge sharing across the broader technical community.
  • Participate in industry events, conferences, community initiatives, public speaking engagements, and thought leadership activities.
Requirements
  • Hands-on experience in artificial intelligence, machine learning, data science, MLOps, LLMOps, or related technical domains.
  • Practical experience developing AI applications, including areas such as large language models (LLMs), retrieval-augmented generation (RAG), natural language processing, deep learning, computer vision, or predictive analytics.
  • Strong proficiency in Python or other statistical programming languages used for machine learning and AI development.
  • Experience working with leading open-source AI and machine learning frameworks such as TensorFlow, PyTorch, or similar technologies.
  • Knowledge of AI system architecture, data pipelines, machine learning pipelines, model training, deployment, monitoring, and operationalization.
  • Familiarity with DevOps, CI/CD practices, Infrastructure as Code (IaC), automation tools, and cloud-native environments.
  • Strong communication and presentation skills with the ability to explain complex technical concepts to both technical and business audiences.
  • Experience leading workshops, technical demonstrations, architecture reviews, or customer-facing technical discussions.
  • Ability to quickly learn new technologies and adapt to evolving AI trends and industry requirements.
  • Strong collaboration, stakeholder management, and problem-solving skills.
  • Comfortable working in a remote and highly collaborative international environment.

Preferred Qualifications:

  • Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • Previous experience in technical pre-sales, sales engineering, solution architecture, consulting, or implementation roles within enterprise software, SaaS, or systems integration environments.
  • Experience implementing AI solutions for enterprise customers.
  • Knowledge of MLOps, LLMOps, AI governance, and scalable production AI systems.
  • Industry expertise in sectors such as financial services, healthcare, defense, intelligence, or other data-intensive industries.
  • Active involvement in open-source communities, AI user groups, technical forums, or community-driven technology initiatives.
  • Experience contributing technical content through presentations, blogs, publications, or community events.
Benefits
  • Competitive compensation package.
  • Flexible and remote-first working environment.
  • Opportunities for continuous learning, certification, and professional development.
  • Access to cutting-edge AI technologies, tools, and industry-leading technical communities.
  • Collaborative and inclusive workplace culture.
  • Exposure to global projects, international teams, and diverse industry challenges.
  • Career growth opportunities within a highly innovative technology environment.
  • Flexible work arrangements designed to support work-life balance.
  • Mentorship and knowledge-sharing opportunities with experienced AI specialists and engineering teams.
  • Participation in conferences, workshops, and community engagement initiatives.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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