ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Monroe, LA (NOW HIRING)

DPR Construction

Data and AI Project Analyst

Monroe, LA · On-site +1

This role is primarily field-based, with approximately 75% of time spent on active jobsites and limited opportunity for remote work. This includes participation in key meetings and workgroup meetings ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Monroe, LA

Remote Machine Learning information

See Monroe, LA salary details

$24.5K

$41K

$84.7K

How much do remote machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote machine learning in Monroe, LA is $40,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Monroe, LA? For Remote Machine Learning jobs in Monroe, LA, the most frequently searched job titles are:
What cities near Monroe, LA are hiring for Remote Machine Learning jobs? Cities near Monroe, LA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Monroe, LA as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $40,963 per year, or $19.7 per hour.
Data and AI Project Analyst

Data and AI Project Analyst

DPR Construction

Monroe, LA • On-site, Remote

Full-time

Posted 14 days ago

DPR Construction rating

7.8

Company rating: 7.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

25th of 79 rated construction

Job description

Job Description

Overview

The Data & AI Project Analyst serves as the field-facing connector between project teams, account leadership, owners/JV partners, and DPR's Technology & Innovation groups-translating business needs into scalable data, analytics, integration, and AI solutions. This role engages early to shape requirements, standardize approaches across projects, coordinate delivery with U.S. and offsite teams, and ensure all data sharing and AI use aligns with governance, legal, and contractual obligations. This is a jobsite-based role, which will require regular travel between all jobsites within a national account.

Data & Development

  • Engage early in pursuit and preconstruction to:
    • Identify owner-mandated technologies
    • Capture data requirements and reporting obligations
    • Surface integration needs and constraints
    • AI opportunity identification
  • Partner with:
    • Integration Managers
    • Account Leadership
    • Project Teams to align on scalable and repeatable approaches
    • Other Account leads
    • Other T&I Groups - (CT, IT, ETS)
  • Align project-level data needs with DPR's Data Strategy and enterprise standards, delivering consistent, flexible solutions that drive measurable impact across the account.
  • Translate business and project needs into clear data, analytics, and integration requirements.
  • This role is primarily field-based, with approximately 75% of time spent on active jobsites and limited opportunity for remote work. This includes participation in key meetings and workgroup meetings at the jobsite.
  • Align AI use cases with owner expectations and contract constraints
  • Advise on feasibility and value of AI-driven solutions

Data & Integration Enablement

  • Influence strategic technology decisions related to data, analytics, AI, and development.
  • Lead conversations with owners, JV partners, and stakeholders on data exchange approaches, including:
    • System access vs data sharing
    • File-based vs platform-based integrations
    • Reporting vs operational use cases
    • Guiding the team through custom analytics and development.
  • Responsible for coordination with Data Engineering, Solution Architecture, Analytics and offsite teams to:
    • Define integration approaches
    • Ensure feasibility and scalability, avoiding one-off or unsustainable solutions
    • Act as a Funnel for requests with US and Offsite teams
  • Manage UAT and QA/QC for deliverables, collaborating with U.S. and offsite teams to incorporate feedback, and own final production readiness and quality.
  • Drive data readiness and integration strategies to support scalable pipelines and enable effective consumption of predictive and generative AI models.
  • Support implementation of standardized data exchange frameworks and templates
  • Ensure all external data sharing aligns with data governance, legal, and contractual requirements
  • Provide hands-on support in analytics and Power BI, iterating on reports, making minor updates, and developing proof-of-concept solutions based on real-time user feedback.

Intake, Prioritization & Coordination

  • Act as the front door for data and development requests at the account level
  • Work with Data & Development Lead - Mega Projects for the prioritization across the accounts
  • Ensure requests are:
    • Clearly defined
    • Properly scoped
    • Prioritized based on business impact
  • Coordinate execution across:
    • Data Engineering
    • Data Analytics
    • AI/ML
    • Software Development
  • Add AI-specific intake criteria (value, risk, data readiness)
  • Prioritize AI initiatives alongside analytics and development work
  • Coordinate across AI/ML teams for model development and deployment
  • Track progress, manage expectations, and communicate updates to stakeholders
  • Escalate risks, conflicts, and capacity constraints when needed

Standardization & Reuse

  • Identify opportunities to:
    • Reuse existing dashboards, pipelines, and integrations
    • Avoid duplication across projects and accounts
  • Promote standardized approaches for:
    • Data mapping
    • Integration patterns
    • Reporting structures
    • Drive implementation of AI use cases by prioritizing reusable models, prompts, and workflows, and minimizing one-off, non-scalable solutions.
  • Contribute to the development of templates and best practices for mega projects.

Project Onboarding & Enablement

  • Support setup of new projects by:
    • Aligning on data requirements and integrations
    • Facilitating access to systems and tools
    • Coordinating onboarding workflows (data, analytics, reporting)
    • Work with Integration Managers to understand account-level and project-level technology stacks including:
      • DPR standard tools
      • Owner-mandated systems
      • JV partner systems
      • AI/ML tools, platforms, and model usage
      • Track approved vs non-approved AI technologies
      • Identify implications of introducing AI into project tech stacks
  • Partner with Integration Managers to deliver and support project landing pages, access management workflows, standardized setup processes, and effective analytics storytelling for project teams.
  • Facilitate rollout of dashboards and tools, including training and enablement for internal and external project teams for onboarding, access, and effective data usage.
  • Champion the use of existing tools and platforms across project teams to drive consistency and maximize value.
  • Assess the technology stack and identify deviations from standards, evaluating downstream impacts on data, development, AI, integrations, cost, and support.

Data Governance & Compliance

  • Ensure all data activities align with:
    • DPR data governance policies
    • NDA & Contractual obligations
    • Client data requirements
    • Ensure AI usage complies with client data restrictions and contracts
    • Align with AI governance policies (data privacy, model usage, vendor constraints)
  • Help define:
    • What data can be shared
    • How it can be used (internal vs external)
    • Where it should be stored (e.g., warehouse-first approach)
  • Support documentation of:
    • Data definitions
    • Data sources
    • Integration logic

Technical Skills

  • Working knowledge of Data and AI
    • Basic understanding of AI/ML and their capabilities
    • Data gathering and quality issues
    • Power BI
  • Business process and systems thinking
    • Map workflows and identify inefficiencies
    • Understand system dependencies
  • Support integration of AI into existing DPR workflows and systems, from adoption to deployment
  • Ability to assist with piloting AI and data solutions on projects, gather user feedback, identify adoption barriers, and refine workflows to ensure tools deliver real-world value.
  • Maintain a working knowledge of AI, data capabilities, and limitations to evaluate opportunities realistically. Ask critical questions about data availability, problem fit, and automation value while leveraging common tools such as dashboards and reporting platforms.

Qualifications

  • Minimum of 4 years of experience in a relevant data analytics/integration delivery role with a strong Power BI background and experience in the construction industry.
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Experience with mapping, documenting, and analyzing business workflows to identify inefficiencies and gaps.
  • Ability to translate ambiguous project team requests into clear, actionable use cases with defined data sources and success criteria.
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.
  • Experience working with or coordinating with overseas teams is a strong plus

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.


Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.


Explore our open opportunities atwww.dpr.com/careers.

What DPR Construction employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply