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Remote Machine Learning Engineer Jobs in Spring, TX

... and Azure Machine Learning into production solutions building agentic and generative AI ... What Genpact: • Flexible PTO and work schedule • Hybrid or fully remote work options • ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ...

Showing results 41-60

Remote Machine Learning Engineer information

See Spring, TX salary details

$28.8K

$117.9K

$177.2K

How much do remote machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote machine learning engineer in Spring, TX is $117,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $141,900.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Spring, TX? The most popular types of Machine Learning Engineer jobs in Spring, TX are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Spring, TX? For Remote Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Spring, TX look for? The top searched job categories for Remote Machine Learning Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Machine Learning Engineer jobs? Cities near Spring, TX with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,902 per year, or $56.7 per hour.

M365 Copilot Software Engineer

Genpact

Houston, TX • On-site, Remote

Full-time

Retirement, PTO

Posted 14 days ago


Genpact rating

6.3

Company rating: 6.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

182nd of 223 rated it services


Job description

Description
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.
This posting is for a position within the Experience unit at Genpact. Experience is Genpact's capability for designing and improving the platforms, interactions and journeys employees and customers use every day. With deep expertise across leading platforms like Adobe, Microsoft, Sitecore, and Optimizely, we unite strategy, human-centered design, engineering and AI inside core enterprise systems, so experiences don't just look better, they perform better, drive adoption and turn advanced technology into measurable business outcomes at scale.
Our Commitment to YOU!
No matter who you are, where you come from, who you love, what you believe, or what you get excited about, we bring people together to make phenomenal work. That's what makes us Genpact!
The Opportunity
We're looking for an M365 Copilot Software Engineer to build and scale enterprise-grade cloud solutions across the Microsoft ecosystem for Genpact Experience. This is a lead role in the engineering, development, and consulting of Copilot and AI centered on Copilot and the Azure stack as a foundation, extending into the M365 Development, API, and integration layer that connects modern front-end experiences such as Next.js and React web apps through SPFx.
You'll design and build integrations across the M365 tenant landscape: SharePoint, Microsoft 365, Power Platform, Dynamics, and Microsoft Graph, alongside SQL and document databases and Microsoft Fabric for data and analytics. On the AI side, you'll bring Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Cognitive Search, and Azure Machine Learning into production solutions building agentic and generative AI capabilities directly into the platforms our clients rely on every day.
If you're a builder who's equally comfortable architecting and developing end-to-end Agentic Solutions, wiring up an SPFx front end, and shipping practical AI features that make a real difference for end users, this is your role.
***Please note that this role is based in Houston with an in-office/hybrid model.
If you are not in the Houston area, you will be required to be working IN Houston (3-4 days/week)***
What You'll Do:
• Design, build, and operate cloud-based solutions on Microsoft Azure using .NET/C# as the primary foundation, applying sound architecture, design patterns, and engineering best practices.
• Build and maintain the front end SPFx, API, and Azure supporting layer connecting backend services to modern front-ends via SharePoint, Teams and other M365 tools.
• Integrate enterprise backend systems including SharePoint, Microsoft 365, and Microsoft Graph including native and custom connectors, ensuring secure, reliable data flow across the ecosystem.
• Design and implement AI-powered features and agentic experiences using Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Cognitive Search, and Azure Machine Learning.
• Architect solutions for performance, security, and scale applying sound patterns for authentication/authorization, caching, messaging, and resilient service-to-service communication.
• Own CI/CD pipelines and DevOps practices using Azure DevOps and GitHub Actions, driving automated build, test, and deployment across environments.
• Use AI-driven development tools (GitHub Copilot, Claude, Codex) to accelerate delivery, prototype faster, and raise the bar on code quality across the team.
• Partner with middleware and mobile engineers to define clean API protocols using M365 and Azure as a backend.
• Serve as a technical lead on client engagements, translating business requirements into pragmatic architecture and mentoring developers through code reviews and hands-on guidance.
• Collaborate with architects across the Experience practice to ensure backend and integration decisions align with the broader platform strategy.
• Contribute to Genpact Experience's Microsoft practice through reusable accelerators, internal tooling, and documentation that raise delivery quality across engagements.
What We're Looking For:
• 8+ years of professional software development experience, with deep expertise in M365 and Microsoft Azure as a foundation.
• Proven experience designing and building M365 applications and solutions, SPFx components, and integration layers connecting M365 tools via secured APIs.
• Hands-on experience with the M365 security suite of Entra, Purview, and SharePoint Advanced Management.
• Experience working with the full M365 suite of tools and familiarity with Microsoft Fabric for data and analytics.
• Practical experience building AI-powered features using Microsoft Copilot Studio/Foundry, Azure OpenAI, Azure AI Search, and Azure Cognitive Search.
• Solid understanding of cloud architecture patterns: microservices, event-driven design, caching, messaging, and secure API design.
• Experience with CI/CD and DevOps practices using Azure DevOps and/or GitHub Actions.
• Comfort using AI-assisted development tools (GitHub Copilot, Claude, Codex) as part of the daily engineering workflow.
• Strong communication skills, with the ability to work directly with clients and cross-functional teams and to mentor other developers.
• Prior experience in consulting, agency, or multi-client delivery environments is a plus.
What sets you apart:
• Microsoft certifications (Azure Solutions Architect Expert, Azure AI Engineer Associate, Power Platform, or similar).
• Experience with Next.js/React front-end development and SPFx frameworks, as well as Azure resource management and build out, API Management and scripting via PowerShell/CSOM.
• Familiarity with agentic AI patterns and multi-agent orchestration frameworks (Semantic Kernel, LangChain, or similar).
• Deep experience with Power Platform, Copilot Studio, Azure AI Foundry to solve problems and show organizational value.
• Background designing solutions across hybrid on-prem/cloud environments, particularly involving M365 and SharePoint migrations.
• Track record of building internal accelerators, frameworks, or reusable components that scale across client engagements.
• Experience in regulated industries (financial services, healthcare, legal) with attention to security and compliance requirements.
What Genpact:
• Flexible PTO and work schedule
• Hybrid or fully remote work options
• Comprehensive insurance coverage and flexible spending accounts
• 401(k) with company matching
• Monthly work-from-home stipend
• Continuous training, certifications, and learning opportunities
• Regular cultural and social events: volunteering, game nights, happy hours, team outings, and more
• Active Employee Resource Groups (Parents, Pride, POC, Womxn)
• Mentorship and career development programs
EEO Statement
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.

What Genpact employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Genpact

Sourced by ZipRecruiter

Genpact is a global Professional Services firm delivering the outcomes that transform our Clients' Businesses and shape their future. We're guided by our real world experience Redesigning and Running thousands of processes for hundreds of Global Companies. Our Clients including many in the Global Fortune 500 partner with us for our unique ability to combine deep industry and functional expertise, Leading talent, and Proven Methodologies to drive Collaborative Innovation that turns insights into action and delivers outcomes at scale. We create lasting competitive advantages for our Clients and their Customers, running digitally enabled operations and applying our Data Tech AI services to design, Build, and Transform their businesses. And we do it all with purpose. From New York to New Delhi and more than 30 countries in between, our 115,000+ team is passionate in its relentless pursuit of a world that works better for people.

Industry

It services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1997

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