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Senior Machine Learning Engineer Jobs in Alexandria, LA

Applied Digital Corporation

Controls Engineer SME

Boyce, LA · On-site

$77K - $99K/yr

Designed from the ground up to support AI and machine learning workloads, our infrastructure is the ... Applied Digital is seeking a highly skilled Data Center Controls Engineer - Operational Subject ...

Cleco

Asset Management Data Analyst

Pineville, LA · On-site

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Engineering, or a ... Databricks, Azure Machine Learning, Azure Data Lake) or similar cloud platforms (AWS/GCP)

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Alexandria, LA

Senior Machine Learning Engineer information

See Alexandria, LA salary details

$54.8K

$116.6K

$169K

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

As of Sep 1, 2026, the average yearly pay for senior machine learning engineer in Alexandria, LA is $116,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $132,200.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

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

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

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Alexandria, LA as of June 2026, with employment types broken down into 74% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $116,576 per year, or $56 per hour.

Controls Engineer SME

Applied Digital Corporation

Boyce, LA • On-site

$77K - $99K/yr

Full-time

Posted 11 days ago

Job description


About Applied Digital:

At Applied Digital, we are the epicenter of AI innovation, crafting cutting-edge data center solutions tailored for the demands of high-performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrow’s technological advancements, including AI-driven video and generative platforms.


We are:

  • Forward-Thinkers: With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution.
  • Resilient: We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers.
  • Innovative Designers: Leveraging the latest technologies, we create visionary solutions that redefine industry standards.


At Applied Digital, we are committed to solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward-thinking innovators driving the AI revolution.


Position Summary:

Applied Digital is seeking a highly skilled Data Center Controls Engineer – Operational Subject Matter Expert (SME). This role focuses on the design, implementation, maintenance, and optimization of control systems within data centers, ensuring reliable, efficient, and secure operations. The ideal candidate will have deep expertise in building management systems (BMS), electrical power monitoring systems (EPMS), automation, and related infrastructure. As an SME, you will also provide technical leadership, troubleshooting guidance, and strategic input on data center projects.


Key Responsibilities:

  • Design, deploy, and maintain control systems for data center facilities, including BMS, EPMS, and automation technologies to monitor and manage mechanical, electrical, and environmental systems.
  • Troubleshoot complex issues in electrical, mechanical, and control systems, performing root cause analysis and implementing corrective actions to minimize downtime.
  • Collaborate with cross-functional teams, including operations, engineering, and vendors, to innovate and optimize automation processes, ensuring compliance with industry standards and safety protocols.
  • Conduct daily inspections, performance monitoring, and predictive maintenance on critical infrastructure, such as cooling systems, power distribution, and fire suppression.
  • Provide subject matter expertise in areas like electrical and mechanical systems, mentoring junior staff, leading training sessions, and representing the organization in client or stakeholder meetings.
  • Manage projects from inception to completion, including system upgrades, integrations, and evaluations of new technologies for enhanced reliability and efficiency.
  • Ensure adherence to regulatory requirements, perform risk assessments, and contribute to disaster recovery planning for data center operations.
  • Analyze system performance data, generate reports, and recommend improvements to support scalable growth in data center capacity.


Basic Qualifications:

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field; advanced certifications (e.g., CDCP, PMP) are a plus.
  • 5+ years of experience in data center operations, controls engineering, or a similar role, with proven expertise in BMS/EPMS and automation systems.
  • Strong knowledge of networking, wired/wireless systems, and infrastructure components like servers, cooling, and power distribution.
  • Proficiency in troubleshooting tools, programming/scripting for automation (e.g., Python, PLC programming), and familiarity with industry standards (e.g., ASHRAE, Uptime Institute).
  • Excellent communication skills for collaborating with teams, vendors, and stakeholders, including the ability to explain complex technical concepts clearly.
  • Experience with hyperscale data centers or mission-critical environments is preferred.


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