Job ID: REF145M
Job Category: Corporate
Location: Hamel, MN, US | Austin, TX, US | Georgetown, TX, US
This post is also available in: Portuguese (Brazil)
DESCRIPTION
Job Title: Engineer II, 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 30 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.
This position is not eligible for Visa Sponsorship.
GENERAL DESCRIPTION / PURPOSE:
Loram is growing its AI/ML team to support increased demand for advanced insights into the inspection data we collect for our customers around the world. We are a small team that manages the entire project lifecycle from gathering requirements to debugging deployed models. Being on a small team, you will have an outsized impact on how Loram performs its inspections and the quality of the maintenance work we do and recommendations we make to our customers.
ESSENTIAL JOB FUNCTIONS:
Strategic and Functional
- AI/ML Development & Deployment
- Work with customers and stakeholders to develop requirements and scope for new projects.
- Develop and maintain pipelines for generating annotations, building datasets, training, and deploying models.
- Develop computer vision and machine learning based solutions for our inspection platforms.
- Create predictive models using historical and current inspection data.
- Implement data preprocessing, feature engineering, model training, evaluation, and tuning.
- Work with the software team to integrate models into production applications.
- Deploy and manage lifecycle of models in cloud (AWS, Databricks) and on edge devices (Triton Inference Server, custom applications).
- 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.
This post is also available in: Portuguese (Brazil)
QUALIFICATIONS
REQUIRED QUALIFICATIONS:
Education and Experience
- 2+ years of experience in AI/ML engineering for candidates with a Bachelor or Master’s degree in computer science, Data Science, AI, Machine Learning, or a related field.
- 4+ years of experience in an AI/ML engineering role for candidates without a degree in a related field
Knowledge, Skills and Abilities
- Strong proficiency in Python, and AI/ML frameworks (PyTorch, OpenCV, Scikit-Learn, etc.).
- Strong understanding of deep learning and computer vision.
- Hands-on experience with big data technologies and data pipeline development (Databricks).
- Knowledge of MLOps tools and CI/CD workflows for AI/ML applications.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving, leadership, and communication skills.
PREFERRED QUALIFICATIONS:
- Experience with line scan data, laser profilers, depth maps, x-ray images, ground penetrating radar.
- Experience with data cleaning and engineering
- Experience implementing custom models and developing pipelines from scratch.
- Experience with robotics, localization/SLAM, sensor fusion.
- Familiarity with edge AI and IoT-driven machine learning solutions.
- Contributions to open-source AI/ML projects or research publications.
- Experience with generative AI models, transformers, LLMs (e.g., OpenAI, Hugging Face).
PRE-EMPLOYMENT REQUIREMENTS:
This position requires successful completion of:
- A pre-employment physical exam and job-specific assessments, which include:
- Non-DOT Physical
- DOT Drug Screen / Breath Alcohol Test
- Audiogram
- An eVerifile/eRailSafe background check (with ongoing compliance required).
- A valid driver’s license and a clean Motor Vehicle Record (MVR), which will be reviewed upon hire and annually thereafter.
- A pre-employment drug and alcohol test, with continued testing for safety-sensitive roles, as required by federal and company regulations.
- A Verification of post-secondary education.
- Verification of current and prior relevant employment experience, to confirm the candidate meets the minimum required years of experience for the position.
- While not required, professional safety or environmental certifications such as OHST, CHST, CHMM, ASP, GSP, CSP, or CIH are preferred.
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.
All your information will be kept confidential according to EEO guidelines.
Equal Opportunity Employer:
Loram is an Equal Opportunity Employer committed to fostering an inclusive, diverse, and respectful workplace. We make all employment decisions based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, national origin, veteran status, or any other characteristic protected by applicable laws in the countries where we operate, including the Equality Act 2010 in the UK, relevant U.S. federal, state, and local laws, Brazil’s anti-discrimination provisions under the Consolidation of Labor Laws (CLT) and Federal Constitution, India’s Equal Remuneration Act and Rights of Persons with Disabilities Act, Australia’s Fair Work Act 2009 and applicable state and territory legislation, and Canada’s human rights protections under the Canadian Human Rights Act and applicable provincial or territorial laws.
Benefits:
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.
Compensation:
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.
The pay range for this position is between $93,900-$141,000
This post is also available in: Portuguese (Brazil)
ABOUT
Loram Maintenance of Way, Inc. is a global leader in track maintenance technology, services, and solutions for the railway industry. For over 70 years, Loram has delivered industry-leading innovation through cutting-edge rail grinding, ballast maintenance, and inspection systems — ensuring safer, more reliable, and cost-effective rail operations for customers worldwide.
Headquartered in Hamel, Minnesota, Loram operates in multiple locations across North America and supports Class I, regional, and commuter railroads with a full suite of services. Loram is known for its strong engineering culture, commitment to safety, and dedication to improving the performance of rail infrastructure through advanced technology and field-proven expertise.
Join a company that moves the world — and builds the future of rail.
DESCRIPTION
Job Title: Engineer II, 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 30 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.
This position is not eligible for Visa Sponsorship.
GENERAL DESCRIPTION / PURPOSE:
Loram is growing its AI/ML team to support increased demand for advanced insights into the inspection data we collect for our customers around the world. We are a small team that manages the entire project lifecycle from gathering requirements to debugging deployed models. Being on a small team, you will have an outsized impact on how Loram performs its inspections and the quality of the maintenance work we do and recommendations we make to our customers.
ESSENTIAL JOB FUNCTIONS:
Strategic and Functional
- AI/ML Development & Deployment
- Work with customers and stakeholders to develop requirements and scope for new projects.
- Develop and maintain pipelines for generating annotations, building datasets, training, and deploying models.
- Develop computer vision and machine learning based solutions for our inspection platforms.
- Create predictive models using historical and current inspection data.
- Implement data preprocessing, feature engineering, model training, evaluation, and tuning.
- Work with the software team to integrate models into production applications.
- Deploy and manage lifecycle of models in cloud (AWS, Databricks) and on edge devices (Triton Inference Server, custom applications).
- 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.
This post is also available in: Portuguese (Brazil)
QUALIFICATIONS
REQUIRED QUALIFICATIONS:
Education and Experience
- 2+ years of experience in AI/ML engineering for candidates with a Bachelor or Master’s degree in computer science, Data Science, AI, Machine Learning, or a related field.
- 4+ years of experience in an AI/ML engineering role for candidates without a degree in a related field
Knowledge, Skills and Abilities
- Strong proficiency in Python, and AI/ML frameworks (PyTorch, OpenCV, Scikit-Learn, etc.).
- Strong understanding of deep learning and computer vision.
- Hands-on experience with big data technologies and data pipeline development (Databricks).
- Knowledge of MLOps tools and CI/CD workflows for AI/ML applications.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving, leadership, and communication skills.
PREFERRED QUALIFICATIONS:
- Experience with line scan data, laser profilers, depth maps, x-ray images, ground penetrating radar.
- Experience with data cleaning and engineering
- Experience implementing custom models and developing pipelines from scratch.
- Experience with robotics, localization/SLAM, sensor fusion.
- Familiarity with edge AI and IoT-driven machine learning solutions.
- Contributions to open-source AI/ML projects or research publications.
- Experience with generative AI models, transformers, LLMs (e.g., OpenAI, Hugging Face).
PRE-EMPLOYMENT REQUIREMENTS:
This position requires successful completion of:
- A pre-employment physical exam and job-specific assessments, which include:
- Non-DOT Physical
- DOT Drug Screen / Breath Alcohol Test
- Audiogram
- An eVerifile/eRailSafe background check (with ongoing compliance required).
- A valid driver’s license and a clean Motor Vehicle Record (MVR), which will be reviewed upon hire and annually thereafter.
- A pre-employment drug and alcohol test, with continued testing for safety-sensitive roles, as required by federal and company regulations.
- A Verification of post-secondary education.
- Verification of current and prior relevant employment experience, to confirm the candidate meets the minimum required years of experience for the position.
- While not required, professional safety or environmental certifications such as OHST, CHST, CHMM, ASP, GSP, CSP, or CIH are preferred.
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.
All your information will be kept confidential according to EEO guidelines.
Equal Opportunity Employer:
Loram is an Equal Opportunity Employer committed to fostering an inclusive, diverse, and respectful workplace. We make all employment decisions based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, national origin, veteran status, or any other characteristic protected by applicable laws in the countries where we operate, including the Equality Act 2010 in the UK, relevant U.S. federal, state, and local laws, Brazil’s anti-discrimination provisions under the Consolidation of Labor Laws (CLT) and Federal Constitution, India’s Equal Remuneration Act and Rights of Persons with Disabilities Act, Australia’s Fair Work Act 2009 and applicable state and territory legislation, and Canada’s human rights protections under the Canadian Human Rights Act and applicable provincial or territorial laws.
Benefits:
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.
Compensation:
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.
The pay range for this position is between $93,900-$141,000
This post is also available in: Portuguese (Brazil)
ABOUT
A Loram South America é uma subsidiária ligada a Loram Maintenance of Way, empresa ferroviária especializada em prestação de serviço e fabricação de máquinas de manutenção de Via Permanente, localizada nos EUA.
Líder no fornecimento de serviços e equipamentos de manutenção de via da América do Norte, atendemos ferrovias Classe I, além shortlines e transporte de passageiros.
Estamos há mais de 60 anos no mercado e hoje possuímos uma das maiores frotas de equipamentos de via permanente na América do Norte, mais de 250 máquinas e de 1.500 colaboradores distribuídos pelo mundo.
DESCRIPTION
Job Title: Engineer II, 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 30 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.
This position is not eligible for Visa Sponsorship.
GENERAL DESCRIPTION / PURPOSE:
Loram is growing its AI/ML team to support increased demand for advanced insights into the inspection data we collect for our customers around the world. We are a small team that manages the entire project lifecycle from gathering requirements to debugging deployed models. Being on a small team, you will have an outsized impact on how Loram performs its inspections and the quality of the maintenance work we do and recommendations we make to our customers.
ESSENTIAL JOB FUNCTIONS:
Strategic and Functional
- AI/ML Development & Deployment
- Work with customers and stakeholders to develop requirements and scope for new projects.
- Develop and maintain pipelines for generating annotations, building datasets, training, and deploying models.
- Develop computer vision and machine learning based solutions for our inspection platforms.
- Create predictive models using historical and current inspection data.
- Implement data preprocessing, feature engineering, model training, evaluation, and tuning.
- Work with the software team to integrate models into production applications.
- Deploy and manage lifecycle of models in cloud (AWS, Databricks) and on edge devices (Triton Inference Server, custom applications).
- 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.
This post is also available in: Portuguese (Brazil)
QUALIFICATIONS
REQUIRED QUALIFICATIONS:
Education and Experience
- 2+ years of experience in AI/ML engineering for candidates with a Bachelor or Master’s degree in computer science, Data Science, AI, Machine Learning, or a related field.
- 4+ years of experience in an AI/ML engineering role for candidates without a degree in a related field
Knowledge, Skills and Abilities
- Strong proficiency in Python, and AI/ML frameworks (PyTorch, OpenCV, Scikit-Learn, etc.).
- Strong understanding of deep learning and computer vision.
- Hands-on experience with big data technologies and data pipeline development (Databricks).
- Knowledge of MLOps tools and CI/CD workflows for AI/ML applications.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving, leadership, and communication skills.
PREFERRED QUALIFICATIONS:
- Experience with line scan data, laser profilers, depth maps, x-ray images, ground penetrating radar.
- Experience with data cleaning and engineering
- Experience implementing custom models and developing pipelines from scratch.
- Experience with robotics, localization/SLAM, sensor fusion.
- Familiarity with edge AI and IoT-driven machine learning solutions.
- Contributions to open-source AI/ML projects or research publications.
- Experience with generative AI models, transformers, LLMs (e.g., OpenAI, Hugging Face).
PRE-EMPLOYMENT REQUIREMENTS:
This position requires successful completion of:
- A pre-employment physical exam and job-specific assessments, which include:
- Non-DOT Physical
- DOT Drug Screen / Breath Alcohol Test
- Audiogram
- An eVerifile/eRailSafe background check (with ongoing compliance required).
- A valid driver’s license and a clean Motor Vehicle Record (MVR), which will be reviewed upon hire and annually thereafter.
- A pre-employment drug and alcohol test, with continued testing for safety-sensitive roles, as required by federal and company regulations.
- A Verification of post-secondary education.
- Verification of current and prior relevant employment experience, to confirm the candidate meets the minimum required years of experience for the position.
- While not required, professional safety or environmental certifications such as OHST, CHST, CHMM, ASP, GSP, CSP, or CIH are preferred.
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.
All your information will be kept confidential according to EEO guidelines.
Equal Opportunity Employer:
Loram is an Equal Opportunity Employer committed to fostering an inclusive, diverse, and respectful workplace. We make all employment decisions based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, national origin, veteran status, or any other characteristic protected by applicable laws in the countries where we operate, including the Equality Act 2010 in the UK, relevant U.S. federal, state, and local laws, Brazil’s anti-discrimination provisions under the Consolidation of Labor Laws (CLT) and Federal Constitution, India’s Equal Remuneration Act and Rights of Persons with Disabilities Act, Australia’s Fair Work Act 2009 and applicable state and territory legislation, and Canada’s human rights protections under the Canadian Human Rights Act and applicable provincial or territorial laws.
Benefits:
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.
Compensation:
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.
The pay range for this position is between $93,900-$141,000
This post is also available in: Portuguese (Brazil)
ABOUT
Loram Maintenance of Way, Inc. is a global leader in track maintenance technology, services, and solutions for the railway industry. For over 70 years, Loram has delivered industry-leading innovation through cutting-edge rail grinding, ballast maintenance, and inspection systems — ensuring safer, more reliable, and cost-effective rail operations for customers worldwide.
Loram EMEA (Europe, Middle East & Africa) is a subsidiary based in the heart of the RTC located in Derby. Loram EMEA builds, operates and maintains rail grinding vehicles and performs heavy overhauls of railway vehicles from its Derby site. Loram is known for its strong engineering culture, commitment to safety, and dedication to improving the performance of rail infrastructure through advanced technology and field-proven expertise.
This post is also available in: Portuguese (Brazil)
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About the area
Find out more about Hamel, MN
This post is also available in: Portuguese (Brazil)
This post is also available in: Portuguese (Brazil)
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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