Job ID: req4944
Job Category: Corporate
Location: Georgetown, TX, US
Job Title: Engineer III, AI/ML
FLSA Status: Exempt
Department: Engineering
Reports to: Lead Engineer, AI/Data
Flex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.
GENERAL DESCRIPTION / PURPOSE:
We are looking for an Engineer III, AI/ML to drive innovation of our AI/ML initiatives. In this role, you will design, develop, and deploy scalable machine learning models and AI-driven solutions, working closely with cross-functional teams. You will also mentor junior engineers, optimize data pipelines, and ensure best practices in AI/ML development.
ESSENTIAL JOB FUNCTIONS:
Strategic and Functional
- AI/ML Development & Deployment
- Design, build, and optimize machine learning models for predictive analytics, NLP, computer vision, or other AI-driven applications.
- Develop and maintain scalable AI/ML solutions, integrating them into production systems.
- Implement data preprocessing, feature engineering, model training, evaluation, and tuning.
- Leverage cloud platforms (AWS, Azure, GCP) for AI/ML model training and deployment.
- Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.
- Optimize model performance in terms of accuracy, speed, and scalability.
- Data Science & Analytics
- Analyze large datasets to extract meaningful insights and drive business decisions.
- Develop statistical models and algorithms to solve complex business problems.
- Work with structured and unstructured data from various sources, ensuring data quality and integrity.
REQUIRED QUALIFICATIONS:
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
Experience: 5+ years of experience in AI/ML engineering, with a track record of deploying machine learning models in production.
Knowledge, Skills and Abilities:
- Strong proficiency in Python, R, or Scala, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Hands-on experience with big data technologies (Spark, Hadoop, Databricks) and data pipeline development.
- Strong understanding of deep learning, NLP, computer vision, and reinforcement learning.
- Knowledge of MLOps tools and CI/CD workflows for AI/ML applications.
- Excellent problem-solving, leadership, and communication skills..
PREFERRED QUALIFICATIONS:
- Experience with generative AI models, transformers, or LLMs (e.g., OpenAI, Hugging Face).
- Familiarity with edge AI and IoT-driven machine learning solutions.
- Contributions to open-source AI/ML projects or research publications.
WORKING CONDITIONS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Office deskwork, requiring sitting, walking, using phone & computer
- May lift up to 30 lbs. occasionally
- Can tolerate variable and sometimes challenging conditions during visits or inspections of company equipment in a railroad environment.
Benefits for this role include a comprehensive package with company-sponsored medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; wellness programs; basic life and AD&D insurance; voluntary life insurance; company paid short-term and long-term disability coverage; 401(k) retirement plan including an employer match of 150% up to the first 6% you contribute to the Plan; Employee Assistance Program (EAP); behavioral health support; and leaves of absence. Additional benefits include tuition reimbursement, payroll charity contributions, adoption assistance and optional plans such as legal, critical illness, and hospitalization.
Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.
Starting pay for the position is between $108,750.00 – $135,900.00.
Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law.
REV March 2025
#LI-HYBRID
#LI-KK1
Job ID: req4944
Job Category: Corporate
Location: Georgetown, TX, US
DESCRIPTION
Job Title: Engineer III, AI/ML
FLSA Status: Exempt
Department: Engineering
Reports to: Lead Engineer, AI/Data
Flex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.
GENERAL DESCRIPTION / PURPOSE:
We are looking for an Engineer III, AI/ML to drive innovation of our AI/ML initiatives. In this role, you will design, develop, and deploy scalable machine learning models and AI-driven solutions, working closely with cross-functional teams. You will also mentor junior engineers, optimize data pipelines, and ensure best practices in AI/ML development.
ESSENTIAL JOB FUNCTIONS:
Strategic and Functional
- AI/ML Development & Deployment
- Design, build, and optimize machine learning models for predictive analytics, NLP, computer vision, or other AI-driven applications.
- Develop and maintain scalable AI/ML solutions, integrating them into production systems.
- Implement data preprocessing, feature engineering, model training, evaluation, and tuning.
- Leverage cloud platforms (AWS, Azure, GCP) for AI/ML model training and deployment.
- Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.
- Optimize model performance in terms of accuracy, speed, and scalability.
- Data Science & Analytics
- Analyze large datasets to extract meaningful insights and drive business decisions.
- Develop statistical models and algorithms to solve complex business problems.
- Work with structured and unstructured data from various sources, ensuring data quality and integrity.
QUALIFICATIONS
REQUIRED QUALIFICATIONS:
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
Experience: 5+ years of experience in AI/ML engineering, with a track record of deploying machine learning models in production.
Knowledge, Skills and Abilities:
- Strong proficiency in Python, R, or Scala, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Hands-on experience with big data technologies (Spark, Hadoop, Databricks) and data pipeline development.
- Strong understanding of deep learning, NLP, computer vision, and reinforcement learning.
- Knowledge of MLOps tools and CI/CD workflows for AI/ML applications.
- Excellent problem-solving, leadership, and communication skills..
PREFERRED QUALIFICATIONS:
- Experience with generative AI models, transformers, or LLMs (e.g., OpenAI, Hugging Face).
- Familiarity with edge AI and IoT-driven machine learning solutions.
- Contributions to open-source AI/ML projects or research publications.
WORKING CONDITIONS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Office deskwork, requiring sitting, walking, using phone & computer
- May lift up to 30 lbs. occasionally
- Can tolerate variable and sometimes challenging conditions during visits or inspections of company equipment in a railroad environment.
Benefits for this role include a comprehensive package with company-sponsored medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; wellness programs; basic life and AD&D insurance; voluntary life insurance; company paid short-term and long-term disability coverage; 401(k) retirement plan including an employer match of 150% up to the first 6% you contribute to the Plan; Employee Assistance Program (EAP); behavioral health support; and leaves of absence. Additional benefits include tuition reimbursement, payroll charity contributions, adoption assistance and optional plans such as legal, critical illness, and hospitalization.
Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.
Starting pay for the position is between $108,750.00 – $135,900.00.
Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law.
REV March 2025
#LI-HYBRID
#LI-KK1
ABOUT
Based in Hamel, Minnesota, Loram Maintenance of Way, Inc. designs and builds some of the most sophisticated railway maintenance equipment in the world, delivering high quality products and services to our global customers. This is made possible by employees who are passionate about delivering advanced equipment, innovative solutions, and unrivaled customer service.
For more information about Loram go to:
Based in Georgetown, Texas, Loram Technologies, Inc. provides innovative solutions for the railroad industry. From our friction management application systems to our Aurora® track inspection systems, our products are technologically advanced, safer, more efficient, and more productive than traditional maintenance methods.
For more information about LTI go to:
http://www.loramtechnologies.com
Loram is proud to be an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities.
Job Title: Engineer III, AI/ML
FLSA Status: Exempt
Department: Engineering
Reports to: Lead Engineer, AI/Data
Flex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.
GENERAL DESCRIPTION / PURPOSE:
We are looking for an Engineer III, AI/ML to drive innovation of our AI/ML initiatives. In this role, you will design, develop, and deploy scalable machine learning models and AI-driven solutions, working closely with cross-functional teams. You will also mentor junior engineers, optimize data pipelines, and ensure best practices in AI/ML development.
ESSENTIAL JOB FUNCTIONS:
Strategic and Functional
- AI/ML Development & Deployment
- Design, build, and optimize machine learning models for predictive analytics, NLP, computer vision, or other AI-driven applications.
- Develop and maintain scalable AI/ML solutions, integrating them into production systems.
- Implement data preprocessing, feature engineering, model training, evaluation, and tuning.
- Leverage cloud platforms (AWS, Azure, GCP) for AI/ML model training and deployment.
- Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.
- Optimize model performance in terms of accuracy, speed, and scalability.
- Data Science & Analytics
- Analyze large datasets to extract meaningful insights and drive business decisions.
- Develop statistical models and algorithms to solve complex business problems.
- Work with structured and unstructured data from various sources, ensuring data quality and integrity.
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About the area
Find out more about Georgetown, TX
Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law.
Loram is committed to protecting the identity and personal information of any potential employee. Loram applicants will only be contacted by Loram employees with an authentic Loram email address ending in @loram.com. We encourage you to verify the identity of any individual who claims to be a member of the Loram team by confirming the email address is @loram.com with no additional characters or letters. We will never request financial information or a financial commitment as part of the recruitment process. If you have a question about the authenticity of any communication claiming to be from Loram, please contact loramrecruiting@loram.com. Reports can be submitted online at www.loram.ethicspoint.com or by calling 1-844-635-4640.
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