Senior Software Engineer (AI/ML)
Veryon
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 3mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Enhance NLP clustering algorithms using Generative AI
- Design and implement text embedding pipelines for PDFs and maintenance logs
- Build statistical and ML models for pattern recognition and anomaly detection
- Embed aircraft-specific context into AI models for improved diagnostics
- Correlate pilot and maintenance defect reports with aircraft sensor data
- Correlate defect data to find re-occurring problems and drive actionable prescriptive insights
- Support predictive maintenance and diagnostics model development
- Build and maintain Python-based AI systems supporting 1000+ concurrent users
- Develop scalable APIs and microservices for AI capabilities
- Ensure high performance, reliability, and observability of AI systems
- Collaborate with product and engineering teams to integrate AI features
- Mentor junior engineers and contribute to technical leadership
- Drive best practices in code quality, testing, and deployment
- Stay current with emerging AI technologies and apply them to product innovation
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 5+ years of software engineering experience with strong AI/ML focus
- Advanced proficiency in Python and building production systems
- Experience with NLP, embeddings, and machine learning models
- Experience working with both structured and unstructured data
- Strong understanding of scalable systems and cloud environments
- Proven experience supporting high-concurrency applications
- Ability to lead technical initiatives and mentor engineers
Preferred
- Hands-on experience with Generative AI and LLMs
- Knowledge of aviation systems, telemetry, or maintenance workflows
- Experience with anomaly detection and statistical modeling
- Familiarity with MLOps (deployment, monitoring, model lifecycle)
- Experience with vector databases and semantic search
- Background in processing technical documents (PDFs, logs)
- Experience with distributed systems and microservices architecture
Skills
- Python
- Generative AI
- LLMs
- embeddings
- NLP
- machine learning
- MLOps
- vector databases
- semantic search
- microservices architecture
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