Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Veryon

Software Engineer – AI & Machine Learning

Veryon

Software Engineer developing AI solutions for aviation maintenance at Veryon. Responsible for designing, developing, and maintaining software applications leveraging machine learning and AI technologies.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python software development, machine learning model enhancement, and SQL database management. Proficient in building scalable applications and RESTful APIs while collaborating effectively across teams to deliver innovative AI-powered solutions.

Highest-signal resume keywords
Python Software DevelopmentMachine Learning FrameworksSQL Database DesignNatural Language ProcessingREST API Development

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonDjangoFlaskFastAPISQLScikit-learnTensorFlowPyTorchPandasNumPy
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
GitCI/CD PipelinesAutomated TestingDevOps Practices
Industry Keywords
Machine LearningNatural Language ProcessingAI-Powered ApplicationsData Pipeline ArchitectureETL Processes

Tech Stack

Tools & technologies
DjangoETLFlaskNoSQLNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable software applications using Python and modern web frameworks such as Django, Flask, or FastAPI.
  • Develop and enhance machine learning models, clustering algorithms, and NLP solutions for automated defect analysis and pattern recognition.
  • Build AI-powered diagnostic systems that intelligently classify, categorize, and route operational tickets.
  • Design, optimize, and maintain SQL databases, queries, and data models that support large-scale analytics and real-time processing.
  • Develop and maintain RESTful APIs supporting AI-powered applications and enterprise integrations.
  • Improve clustering logic to reduce manual intervention in defect categorization and operational workflows.
  • Collaborate with Product Management, QA, Engineering, and Operations teams to translate business requirements into scalable technical solutions.
  • Research, evaluate, and implement emerging AI, machine learning, and software engineering technologies that improve product capabilities.
  • Participate in Agile ceremonies including sprint planning, code reviews, retrospectives, and technical design discussions.
  • Continuously improve application performance, scalability, maintainability, and software quality.
  • Document technical designs, AI models, engineering standards, and development best practices.

Requirements

What you’ll need
  • 4–8+ years of experience in software development using Python and modern web frameworks.
  • Strong proficiency with SQL, database design, query optimization, indexing, and performance tuning.
  • Hands-on experience with machine learning frameworks including Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
  • Strong experience developing clustering algorithms including K-Means, DBSCAN, and Hierarchical Clustering.
  • Experience building Natural Language Processing (NLP) solutions including text classification, entity extraction, sentiment analysis, and language models.
  • Experience with Generative AI concepts and AI-assisted software development workflows.
  • Strong understanding of feature engineering, data preprocessing, model validation, and model optimization.
  • Experience designing, developing, and consuming REST APIs.
  • Knowledge of data pipeline architecture, ETL processes, and real-time data processing.
  • Experience working with relational and NoSQL databases supporting analytics workloads.
  • Familiarity with Git, CI/CD pipelines, automated testing, and modern DevOps practices.
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, Machine Learning, Artificial Intelligence, or a related technical field.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development