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Remote Machine Learning Architect Jobs in Indiana

Lucidworks

Senior IT Systems Engineer

Indianapolis, IN · Remote

$99K - $136K/yr

Our Deep Learning technology captures user behavior and utilizes machine learning to connect people ... This is a fully remote individual contributor role within the Technology organization, working with ...

Lucidworks

Senior IT Systems Engineer

Indianapolis, IN · Remote

$99K - $136K/yr

Our Deep Learning technology captures user behavior and utilizes machine learning to connect people ... This is a fully remote individual contributor role within the Technology organization, working with ...

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 ... machine learning systems with a high degree of autonomy. This role partners closely with architects ...

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 ... machine learning systems with a high degree of autonomy. This role partners closely with architects ...

Harris

As we modernize our products and architecture, we're seeking someone who can bridge the gap between ... learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Allegion

Lead Security Mobile Engineer

Indianapolis, IN · On-site +1

Promote the implementation of standard security architecture conventions to ensure the availability ... High degree of learning agility required to quickly gain visibility across Allegion's global ...

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All JobsMachine Learning Architect JobsRemote Machine Learning Architect JobsRemote Machine Learning Architect Jobs in Indiana

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 Indiana? For Remote Machine Learning Architect jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Architect jobs in Indiana look for? The top searched job categories for Remote Machine Learning Architect jobs in Indiana are:
What cities in Indiana are hiring for Remote Machine Learning Architect jobs? Cities in Indiana with the most Remote Machine Learning Architect job openings:
Remote Machine Learning Architect jobs near you
Senior IT Systems Engineer

Senior IT Systems Engineer

Lucidworks

Indianapolis, IN • Remote

$99K - $136K/yr

Full-time

Posted 12 days ago

Job description

Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way.

Please note: To ensure a fair and efficient process for all applicants, we kindly ask that you refrain from direct outreach to our hiring managers or team members. All communication should go through the official application portal. We will review your application carefully and reach out to you if your qualifications match our needs. We appreciate your interest in Lucidworks!

About the role

As a Senior IT Systems Engineer, you own IT systems engineering for corporate infrastructure, designing, implementing, and operating reliable, secure systems that support Lucidworks operations and meet enterprise IT standards. You partner with IT leadership, security, and business stakeholders to scope, estimate, and deliver infrastructure projects.

This is a fully remote individual contributor role within the Technology organization, working with a moderate level of autonomy on defined responsibilities with meaningful cross-functional touchpoints.

What you'll do

  • Own IT systems engineering for corporate infrastructure, designing, implementing, and operating reliable, secure systems that support Lucidworks operations and meet enterprise IT standards.

  • Design and improve Lucidworks IT infrastructure, including identity management, endpoint management, network architecture, and SaaS integration, with a focus on scalability, security, and operational efficiency.

  • Set a high bar for system reliability and configuration quality through rigorous documentation, peer review of infrastructure changes, and active reduction of technical debt in owned systems. Raise design and security issues proactively.

  • Own the operational health of systems in your domain, contributing to SLA/uptime targets, maintaining monitoring and alerting, participating in incident response, and driving post-incident improvements that prevent recurrence.

  • Parter with IT leadership, security, and business stakeholders to plan and deliver infrastructure projects, communicating technical restraints, risks, and tradeoffs clearly to both technical and non-technical audiences. 

  • Apply Gen AI tools to accelerate systems administration, scripting, and documentation work, with the judgment to critically evaluate AI-generated output and to keep sensitive credentials and infrastructure details out of AI tools.

  • Provide guidance and knowledge-sharing to other IT staff and act as an escalation point for complex systems issues. Contribute to a culture of documentation, ownership, and continuous improvement.

What we're looking for

Must-haves

  • Experience working in a startup or similarly sized organization (approximately 100 to 500 employees), supporting corporate IT infrastructure with a hands-on, generalist approach.

  • Ability to own deployment, maintenance, integration, and troubleshooting of all corporate systems including hardware, software, and networking; develops and designs network architecture and computer systems infrastructure.

  • Deep hands-on experience administering Okta (including lifecycle management and SAML/SCIM integrations), and Google Workspace.

  • Ability to ensure compliance with IT security policies and procedures; contributes to the organization's security posture through responsible administration, access management, and secure system configuration.

  • Proficiency in applying knowledge of IT security policies and compliance requirements across corporate systems; maintains adherence through documented processes, system configuration, and access controls.

  • Depth in experience with virtualization, cloud computing, and containerization technologies; administers enterprise systems across cloud and on-premise environments; manages Linux and Windows server infrastructure.

  • Skill in collaborating with management and internal partners to identify and implement sustainable IT solutions that meet business needs; provides technical support and guidance across the organization.

  • Skill in translating complex systems scripting, automation, and documentation requirements into precise AI prompts to accelerate IT engineering workflows, with sound judgment about what system credentials and sensitive infrastructure details may not enter any AI tool.

Nice-to-have

  • Familiarity with SaaS security best practices, SSO enforcement, MFA, and privileged access management.

  • Experience with MDM policy design and endpoint compliance enforcement in a remote-first workforce.

What success looks like

  • Delivers independently on defined responsibilities with consistent quality, meeting or exceeding timeline expectations without close oversight.

  • Identifies and addresses gaps within their scope before they become problems, not just completing work, but improving it.

  • Is a reliable cross-functional collaborator: brings the right context to stakeholders, follows through on commitments, and communicates blockers clearly and early.

  • Applies Gen AI tools fluently to accelerate work and improve quality, and holds AI-generated output to the same critical standard as their own.

  • Leaves the role better than they found it: through documentation, process improvement, or knowledge-sharing that raises the quality floor for the team.

Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company.

Thank you for your interest and we look forward to learning more about you.

Note to third party recruiters:
We appreciate your interest in our job opportunities. However, we kindly request that third-party recruiters and staffing agencies refrain from contacting us regarding these positions. We prefer to work directly with candidates and do not accept unsolicited resumes or candidate referrals from third-party recruiters or agencies. Unsolicited resumes and referrals will become the property of Lucidworks, and no fee will be paid should we hire a candidate whose resume was sent unsolicited.

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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