Sr AI Engineer

Location

Fort Worth, TX, USA (Remote – contiguous 48 U.S. States)

$ - $ USD annually

Full-time

Up to 20% (occasional travel to Fort Worth, TX headquarters)

Lead our charge into the future as an AI-driven organization by transforming our client’s data assets into a real-time enterprise. This role is pivotal in designing and deploying AI solutions that optimize railroad operations, enhance safety, and drive innovation.

AI Development & Implementation

• Design, develop, and implement AI models tailored to railroad operations (predictive maintenance, scheduling, safety monitoring).
• Build scalable AI systems to analyze real-time data from rail infrastructure, rolling stock, and IoT devices.

Data Collection & Analysis

• Collect, preprocess, and clean data from sensors, GPS, and maintenance logs for AI model training.
• Conduct exploratory data analysis to identify operational trends.
• Build and maintain ETL pipelines for AI applications.

Optimization & Automation

• Fine-tune algorithms for train scheduling, route planning, and fuel efficiency.
• Support automation of operational processes using AI-powered tools.

System Integration & Deployment

• Collaborate with engineering and Dev Ops teams to integrate AI solutions into production.
• Ensure compliance with railroad industry standards.

Performance Monitoring

• Monitor deployed models for accuracy and scalability.
• Troubleshoot, retrain, and update models as needed.

Collaboration & Communication

• Partner with cross-functional teams to enable AI-driven solutions.
• Communicate technical concepts to technical and non-technical stakeholders.

Research & Innovation

• Stay current on emerging AI technologies.
• Propose innovative methodologies for complex railroad challenges.

• Authorized to work in the U.S.
• 6+ years in AI/ML development, data science, or software engineering.
• Technical
  
  Skills:
  • Proficiency in Python, R, or Java.
  • Experience with ML frameworks (Tensor Flow, PyTorch, scikit-learn).
  • Familiarity with data engineering tools (Hadoop, Spark, AWS S3, PySpark) and cloud platforms (AWS, Azure, Databricks).
  • Strong knowledge of SQL/No
    
    SQL databases.
  • Expertise in MLOps ecosystem and generative AI models.
  • Experience with GenAI tools (Lang Chain, Lang Graph), vector databases, embeddings, and agentic architectures.
• Strong analytical and problem-solving skills.
• Excellent communication skills.

• Ability to work without future sponsorship.
• Bachelor’s degree or higher in Computer Science, AI, Data Science, or related field.
• Experience with predictive maintenance, anomaly detection, or industrial IoT.
• Knowledge of railroad operations or logistics.
• Familiarity with MLOps practices and production deployment.
• Background in transportation, supply chain, or infrastructure industries.

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