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Machine Learning Engineer Jobs in Lafayette, LA (NOW HIRING)

CGI Inc.

Senior AWS Cloud Engineer

Lafayette, LA · On-site

$53.25 - $71.25/hr

Senior AWS Cloud Engineer Category: Infrastructure/Cloud Main location: United States, Louisiana ... AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can ...

CGI Inc.

Senior Full Stack Developer

Lafayette, LA · On-site

Senior Full Stack Developer Category: Software Development/ Engineering Main location: United ... AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can ...

Nidec Motor

Machinist (Manual)

Opelousas, LA

$17 - $23/hr

Tuition reimbursement and continuous learning opportunities to support your professional growth ... Confers with engineers, production personnel, programmers, or others to resolve machining or ...

Westfield Fluid Controls

Be Seen First

CNC Machinist

Lafayette, LA · On-site

$19.50 - $26.75/hr

Monitors machine operations, inspects machined parts to ensure job specifications are maintained ... Active Learning -- Understanding the implications of new information for existing and predictive ...

Tetra Tech, Inc.

Lead Electrical Engineer

Lafayette, LA · On-site

$152K - $159K/yr

Leading systems and electrical engineering staff with regard to career growth, continuous learning ... Strong understanding of electrical three-phase machine theory and applications. * Familiarity with ...

Tetra Tech

Lead Electrical Engineer

Lafayette, LA · On-site

$152K - $159K/yr

Leading systems and electrical engineering staff with regard to career growth, continuous learning ... Strong understanding of electrical three-phase machine theory and applications. * Familiarity with ...

Tetra Tech

Lead Electrical Engineer

Lafayette, LA

$152K - $159K/yr

Leading systems and electrical engineering staff with regard to career growth, continuous learning ... Strong understanding of electrical three-phase machine theory and applications. * Familiarity with ...

Boyd Gaming

Engineer Maintenance-2

Opelousas, LA · On-site

As an Engineer Maintenance-2, you will work alongside our maintenance team to implement preventive ... Perform preventive and corrective maintenance on industrial equipment, machinery, and systems to ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lafayette, LA

Machine Learning Engineer information

See Lafayette, LA salary details

$30.1K

$123K

$184.8K

How much do machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning engineer in Lafayette, LA is $122,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are popular job titles related to Machine Learning Engineer jobs in Lafayette, LA? For Machine Learning Engineer jobs in Lafayette, LA, the most frequently searched job titles are:
What cities near Lafayette, LA are hiring for Machine Learning Engineer jobs? Cities near Lafayette, LA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lafayette, LA as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,973 per year, or $59.1 per hour.
Senior AWS Cloud Engineer

Senior AWS Cloud Engineer

CGI Inc.

Lafayette, LA • On-site

$53.25 - $71.25/hr

Full-time

Retirement, PTO

Re-posted 2 days ago

CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

134th of 210 rated it services

Job description

Senior AWS Cloud Engineer
Category: Infrastructure/Cloud
Main location: United States, Louisiana, Lafayette
Position ID:J0626-1268
Employment Type: Full Time
U.S. - CGI Federal- Federal Regulatory
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Position Description:
CGI Federal seeks multiple Senior AWS Cloud Engineers to support cloud design, engineering, automation, and security for a major federal cloud modernization and analytics initiative. Engineers in this role will enable secure deployment of cloud-based applications, infrastructure components, and COTS tools across AWS GovCloud and Commercial environments.
This position is located in our Fairfax, VA or Lafayette, LA office; however, a hybrid working model is acceptable.
Your future duties and responsibilities:
• Build, deploy, and maintain multi-environment AWS infrastructure supporting analytics, prototyping, and operational workloads.
• Implement automation using AWS CDK, CloudFormation, or similar IaC tools.
• Develop and support CI/CD pipelines incorporating security at each stage.
• Deploy and optimize Palo Alto firewalls across cloud regions.
• Configure VPCs, subnets, routing tables, TGW, and related networking components.
• Integrate cloud identity solutions including Okta, EntraID, PIV, and SailPoint.
• Deploy, operate, and maintain a cloud-based Data Lake environment.
• Support cloud connectivity solutions including Direct Connect.
• Maintain compliance with federal cybersecurity requirements and support ATO-related activities.
Required qualifications to be successful in this role:
• Strong AWS cloud engineering background with emphasis on networking, IAM, and platform security.
• Experience in infrastructure-as-code automation.
• Proficiency in scripting and system automation.
• US Citizenship and ability to meet federal clearance requirements.
Desired:
• Experience with Palo Alto firewall deployment in cloud environments.
• Familiarity with multi-contractor Agile delivery environments.
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs
#CGIFederalJob
#LI-DD1
Skills:
  • Amazon Web Services Cloud
  • AWS Machine Learning
  • AWS Machine Learning
  • Cloud architecture
  • Docker
  • GitLab

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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