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Remote Senior Machine Learning Engineer Jobs in Lafayette, LA

Aggreko

Senior Design Engineer

New Iberia, LA · On-site +1

From world-class events that last a few weeks to mining operations and remote communities who rely on us for decades. What you'll do as Senior Design Engineer: * Design safe, reliable, and ...

Aggreko

Senior Controls Engineer

New Iberia, LA · On-site +1

$78K - $103K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely on us for decades. What you'll do as Senior Controls Engineer: * Analyzes BESS, Controls, and SCADA ...

All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Lafayette, LA

Remote Senior Machine Learning Engineer information

See Lafayette, LA salary details

$72.1K

$136.8K

$183.4K

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

As of Aug 31, 2026, the average yearly pay for remote senior machine learning engineer in Lafayette, LA is $136,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $154,200.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Lafayette, LA?

For Remote Senior Machine Learning Engineer jobs in Lafayette, LA, the most frequently searched job titles are:

What cities near Lafayette, LA are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Lafayette, LA with the most Remote Senior Machine Learning Engineer job openings:

Remote Senior Machine Learning Engineer jobs near you

Senior Design Engineer

New Iberia, LA • On-site, Remote

Aggreko
Utilities • 5 - 10K employees

8.2

Company rating: 8.2 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

131st of 495 rated machine equipment manufacturers

Great coworkers

People enjoy working here

Good employer

Learn more about Aggrekoexternal

Full-time

Medical, Life

Re-posted 6 days ago

Job description

Bring your energy to Aggreko as Senior Design Engineer based in New Iberia or Houston. You'll perform calculations and prepare drawings and project design pack (PDP) for power generation projects.

overall purpose of the role].

Power without pause. Heating, cooling and oil-free air without end. We keep our customers' worlds on. From world-class events that last a few weeks to mining operations and remote communities who rely on us for decades.

What you'll do as Senior Design Engineer:

  • Design safe, reliable, and costefficient power systems using codes, standards, and experience.
  • Support sales by visiting sites, presenting solutions, and developing costeffective proposals.
  • Manage design, calculate and procurement of power equipment; create layouts, schematics, and BOMs.
  • Provide technical support on-site and remotely; analyze data to ensure performance compliance.
  • Mentor junior staff and produce/edit drawings (AutoCAD) for electrical systems.
  • Perform engineering studies (ETAP, PSCAD) including load flow, fault, coordination, and arc-flash analysis.

You are:

  • Bachelor Degree in Electrical Engineering (ABET accredited or approved equal)
  • Professional Engineering License (P.E.) strongly preferred
  • 5+ years relevant experience
  • Excellent verbal and written communication skills in English language
  • Strong technical knowledge and experience in electrical field and excellent analytical and problem-solving skills with high level of accuracy
  • Availability to travel to support business needs and for training and in possession of valid local Driving License as per the need of the business
  • EPC, Battery and Medium voltage a plus

Here's what you'll get:

  • Competitive Salary
  • Annual bonus program tied to company and individual performance
  • No premium cost medical plan option available
  • Company provided Life Insurance, Short-Term and Long-Term Disability
  • Career growth opportunities and tuition reimbursement
  • Safety-focused culture

Our people are can-do, positive, resilient and persistent. If that feels like you, apply now and build your career with the people bringing energy to the world.

#LI-AN1

Equal employment opportunity

We welcome people from different backgrounds and cultures, and respect people's unique skills, attitudes and experiences. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers.

We are an equal opportunity employer. If you apply for a role at Aggreko, we will consider your application based on your qualifications and experience, and not on your race, colour, ethnicity, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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