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Remote Ai Implementation Jobs in Indiana (NOW HIRING)

Harris

... implementations. The Application Consultant role is project driven and supports a wide array of ... Salary: 65K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Cayenta

... implementations. The Application Consultant role is project driven and supports a wide array of ... Salary: 65K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Harris

... implementations. The Application Consultant role is project driven and supports a wide array of ... Salary: 65K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Design and implement complex AI/ML systems, pipelines, and model-serving architectures for ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Design and implement complex AI/ML systems, pipelines, and model-serving architectures for ...

Harris

In this role, you'll engage in installations, implementations, training, testing, problem ... Salary: 50K - 60K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Harris

In this role, you'll engage in installations, implementations, training, testing, problem ... Salary: 50K - 60K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Harris

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Accelerate the CayentaOne roadmap by championing and implementing AI-assisted development (AI-DLC ...

Harris

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Accelerate the CayentaOne roadmap by championing and implementing AI-assisted development (AI-DLC ...

Cayenta

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Accelerate the CayentaOne roadmap by championing and implementing AI-assisted development (AI-DLC ...

Harris

Salary: 70K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ... implementing long-term solutions. * Contribute to the modernization of established software ...

Siemens

$18 - $50/hr

Developing and implementing agentic AI solutions to gather, analyze, and synthesize market data on ... LI-PLM LI-Remote You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

Siemens

$18 - $50/hr

Developing and implementing agentic AI solutions to gather, analyze, and synthesize market data on ... LI-PLM LI-Remote You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

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Remote Ai Implementation information

What is a Remote AI Implementation Specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

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

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.
What are the most commonly searched types of Ai Implementation jobs in Indiana? The most popular types of Ai Implementation jobs in Indiana are:
What are popular job titles related to Remote Ai Implementation jobs in Indiana? For Remote Ai Implementation jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Ai Implementation jobs in Indiana look for? The top searched job categories for Remote Ai Implementation jobs in Indiana are:
What cities in Indiana are hiring for Remote Ai Implementation jobs? Cities in Indiana with the most Remote Ai Implementation job openings:
Remote Ai Implementation jobs near you
Cloud Infrastructure Engineer - AI Reviewer - Remote

Cloud Infrastructure Engineer - AI Reviewer - Remote

micro1 AI

Indianapolis, IN • Remote

$200K - $300K/yr

Part-time

Medical, Retirement, PTO

Posted 23 days ago

Job description

Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as an Azure DevOps Engineer, where you will play a pivotal role in building, maintaining, and optimizing cutting-edge cloud infrastructure. This is an opportunity to leverage your expertise in Azure, DevOps, Kubernetes, and Docker to drive innovative solutions and ensure seamless deployment pipelines. As a core team member, your passion for clear written and verbal communication will be critical to collaborating across distributed teams and delivering high-impact results.


Key Responsibilities:

• Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.

• Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.

• Orchestrate and manage containerized applications with Kubernetes and Docker.

• Monitor system performance, automate operational tasks, and proactively resolve issues.

• Collaborate closely with development teams to streamline deployments and improve operational efficiency.

• Ensure robust system security, compliance, and reliable backup/recovery strategies.

• Document processes and solutions, and communicate insights effectively with technical and non-technical stakeholders.


Required Skills and Qualifications:

• Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.

• Deep expertise in Azure DevOps tools and services.

• Advanced proficiency in Kubernetes and Docker for orchestration and container management.

• Excellent written and verbal communication skills, with a passion for clear, collaborative work.

• Experience designing and optimizing CI/CD pipelines.

• Solid understanding of infrastructure automation, monitoring, and troubleshooting.

• Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.


Preferred Qualifications:

• Familiarity with additional cloud platforms such as GCP and AWS.

• Experience supporting large-scale, distributed systems.

• Relevant Azure or Kubernetes certifications are a plus.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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