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Remote Client Implementation Jobs in O Fallon, MO

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 MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Working with client services team and technology team on the implementation and tracking of client ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Working with client services team and technology team on the implementation and tracking of client ...

Begin to contribute to PPC portion of client calls. * Begin implementing campaign optimizations and ... remote team members. * Prepare for and attend weekly Brand Management meetings to discuss ...

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Remote Client Implementation information

See O Fallon, MO salary details

$25

$48

$75

How much do remote client implementation jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote client implementation in O'Fallon, MO is $48.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.96 and $57.12 per hour, depending on experience, location, and employer.

What is the difference between Remote Client Implementation vs Remote Technical Support?

AspectRemote Client ImplementationRemote Technical Support
Required CredentialsTypically requires certifications like PMP, technical expertise, and industry-specific knowledgeOften requires certifications like CompTIA, ITIL, or vendor-specific credentials
Work EnvironmentProject-based, involves onboarding clients, configuring systems, and ensuring successful deploymentHelpdesk or support center, troubleshooting, and resolving technical issues remotely
Employer & Industry UsageUsed by software, technology, and consulting firms during client onboardingCommon across IT, telecom, and software companies providing ongoing support

Remote Client Implementation focuses on deploying and configuring solutions for clients, requiring project management skills and technical expertise. In contrast, Remote Technical Support centers on troubleshooting and resolving technical issues, emphasizing problem-solving skills. Both roles are vital in tech industries but serve different functions in client service and support.

What are some common challenges faced in a remote client implementation role, and how can they be addressed?

Remote client implementation professionals often encounter challenges such as coordinating across different time zones, ensuring clear communication with clients, and managing multiple projects simultaneously. To address these, it’s important to establish structured communication protocols, use project management tools to track progress, and set clear expectations with clients from the outset. Building strong relationships with both internal teams and clients through regular virtual check-ins can also help prevent misunderstandings and keep projects on schedule.

What are the key skills and qualifications needed to thrive as a Remote Client Implementation Specialist, and why are they important?

To thrive as a Remote Client Implementation Specialist, you need strong project management abilities, attention to detail, and a background in business, IT, or a related field. Familiarity with CRM software, project tracking tools, and onboarding platforms is typically required, and certifications in project management (like PMP) can be valuable. Excellent communication, problem-solving, and customer service skills help you build client trust and navigate challenges remotely. These skills ensure smooth onboarding experiences, client satisfaction, and successful deployment of products or services in a virtual environment.

What is a Remote Client Implementation Specialist?

A Remote Client Implementation Specialist is a professional responsible for onboarding new clients to a company's products or services remotely. They coordinate with clients to understand their needs, configure solutions, provide training, and ensure a smooth transition without needing in-person meetings. Their role involves project management, technical setup, and ongoing support to guarantee client satisfaction and successful adoption of the service. Strong communication and organizational skills are essential for this job, as most interactions happen virtually.
What are popular job titles related to Remote Client Implementation jobs in O'Fallon, MO? For Remote Client Implementation jobs in O'Fallon, MO, the most frequently searched job titles are:
What job categories do people searching Remote Client Implementation jobs in O'Fallon, MO look for? The top searched job categories for Remote Client Implementation jobs in O'Fallon, MO are:
What cities near O'Fallon, MO are hiring for Remote Client Implementation jobs? Cities near O'Fallon, MO with the most Remote Client Implementation job openings:
Senior AI Engineer

Senior AI Engineer

Koantek

Chesterfield, MO • Remote

$54.75 - $70.50/hr

Contractor

Posted 7 days ago


Job description

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced Generative AI and Natural Language Processing (NLP) models, for our diverse client base.Key Responsibilities Serve as a primary technical consultant, leading and executing end-to-end ML project implementations directly with clients, translating complex business problems into robust technical solutions

Exhibit excellent communication, presentation, and stakeholder management skills to clearly articulate technical findings, proposals, and project status to both technical and non-technical audiences. Design, build, and maintain production-grade ML pipelines, focusing on continuous integration, continuous delivery (CI/CD), and advanced MLOps practices to ensure reliability and scalability of models. Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) in a production setting.

Manage underlying solution infrastructure, demonstrating proficiency in technologies such as Docker, pipeline orchestrators, and database systems. Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark). Contribute to the strategic growth of the ML Practice Team, including participation in technical assignments and knowledge transfer activities

Ensure all client engagements and training activities are properly documented and reported via designated partner platforms. Required Qualifications 4+ years of hands-on professional experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment. 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical implementation and delivery.

Excellent verbal and written communication skills for effective client and internal team interaction. Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices. Demonstrable experience with infrastructure management, encompassing containerization (Docker) and data pipeline orchestration.

Deep understanding of programming for data-intensive and scalable ML applications. Proven experience in deploying and managing Generative AI and NLP solutions for client applications. Preferred Qualifications Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.

Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing. Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures. Requirements Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.

Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing. Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures.