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Remote Machine Learning Engineer Jobs in Pleasant Grove, AL

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

... for machine learning and data science workflows. This role helps ensure geospatial data is ... Remote-friendly culture with an optional annual hunting trip. Essential Job Function We are an ...

Motorola

Senior DevOps Engineer (US REMOTE)

Birmingham, AL · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Kemper

Senior Data Engineer

Birmingham, AL · Remote

$99K - $135K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... Mentor engineering team members,facilitatecode reviews, and promote continuous learning and ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Pleasant Grove, AL

Remote Machine Learning Engineer information

See Pleasant Grove, AL salary details

$29.2K

$119.4K

$179.4K

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

As of Jul 27, 2026, the average yearly pay for remote machine learning engineer in Pleasant Grove, AL is $119,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $143,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

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 job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What cities near Pleasant Grove, AL are hiring for Remote Machine Learning Engineer jobs? Cities near Pleasant Grove, AL with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Pleasant Grove, AL as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $119,391 per year, or $57.4 per hour.
GIS Data Engineer

GIS Data Engineer

EBSCO Industries Inc

Birmingham, AL • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.

We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven – hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.

We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team

Job Summary

Moultrie is actively growing its geospatial capabilities across existing Mapbox-based mobile applications, upcoming web experiences, and support for machine learning and data science workflows. This role helps ensure geospatial data is identified, acquired, transformed, documented, and delivered with quality and reliability.

Job Responsibilities

Key Responsibilities

  • Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools.
  • Acquire, clean, transform, and load geospatial datasets to support product, engineering, and analytics use cases.
  • Execute against defined priorities and deadlines while raising risks early and communicating status clearly.
  • Perform quality assurance checks to improve data completeness, consistency, and usability.
  • Document data lineage, transformation methods, assumptions, and known gaps (for example, counties/states with missing data).
  • Contribute to repeatable geospatial processes and help improve internal GIS standards over time.
  • Support occasional off-hours on-call needs for geospatial operations.
  • Participate in interviews and provide hiring feedback when requested.

What Success Looks Like

  • Priority geospatial initiatives are delivered by agreed deadlines with clear documentation.
  • Data products are complete where possible, with clear documentation of missing or unavailable data.
  • GIS workflows are repeatable, documented, and trusted by partner teams.
  • Cross-functional teams can reliably use geospatial outputs in products, analytics, and planning.
Job Requirements

Required Qualifications

  • 3+ years of professional GIS experience.
  • Hands-on experience with QGIS, PostGIS, GDAL, Mapbox, Python, and SQL.
  • Demonstrated ability to build or support cloud hosted geospatial ETL/data preparation workflows.
  • Experience collaborating with cross-functional stakeholders and communicating technical details clearly.
  • Strong attention to detail, time management, curiosity, and ownership mindset.

Preferred Qualifications

  • 5+ years of GIS experience.
  • Experience supporting geospatial needs for product teams and/or machine learning/data science initiatives.
  • Familiarity with cloud computing in Microsoft Azure.
  • Experience with Spatiotemporal Asset Catalogs (STAC) and cloud native geospatial formats.

What We Offer

  • The funding and long-term focus of a privately-held company, combined with the energy of a startup.
  • The opportunity to work with cutting edge geospatial tools in an emerging GIS team.
  • Remote-friendly culture with an optional annual hunting trip.
Essential Job Function

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.

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