Engineer III, AI/ML

Loram Maintenance of Way, Inc.
remote work
United States, Minnesota, Hamel
3900 Arrowhead Drive (Show on map)
Dec 01, 2025
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 work days annually to work from home! 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 computer vision, inspection, predictive analytics, NLP, 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, and AI/ML frameworks (PyTorch, Scikit-Learn, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with big data technologies (Spark, Databricks) and data pipeline development. Strong understanding of deep learning and computer vision, Knowledge of MLOps tools and CI/CD workflows for AI/ML applications. Excellent problem-solving, leadership, and communication skills. PREFERRED QUALIFICATIONS: Experience with data engineering. 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, or LLMs (e.g., OpenAI, Hugging Face). 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. 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 work days annually to work from home! 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 computer vision, inspection, predictive analytics, NLP, 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, and AI/ML frameworks (PyTorch, Scikit-Learn, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with big data technologies (Spark, Databricks) and data pipeline development. Strong understanding of deep learning and computer vision, Knowledge of MLOps tools and CI/CD workflows for AI/ML applications. Excellent problem-solving, leadership, and communication skills. PREFERRED QUALIFICATIONS: Experience with data engineering. 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, or LLMs (e.g., OpenAI, Hugging Face). 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. 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 work days annually to work from home! 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 computer vision, inspection, predictive analytics, NLP, 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, and AI/ML frameworks (PyTorch, Scikit-Learn, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with big data technologies (Spark, Databricks) and data pipeline development. Strong understanding of deep learning and computer vision, Knowledge of MLOps tools and CI/CD workflows for AI/ML applications. Excellent problem-solving, leadership, and communication skills. PREFERRED QUALIFICATIONS: Experience with data engineering. 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, or LLMs (e.g., OpenAI, Hugging Face). 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.