Machine Learning Engineer I/II
1 week ago
Overview
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more.
If you want to learn more about us visit us at And for a full listing of open job opportunities go to
The Position
: ML engineer III
We are seeking an experienced
Machine Learning Engineer
to lead end-to-end ML initiatives that enhance
In-Flight Entertainment & Connectivity (IFEC) systems
. This role involves
technical leadership, hands-on ML model development, and mentoring
, with a focus on
innovation, personalization, and GenAI-driven solutions
for next-generation passenger experiences.
Responsibilities
Technical Leadership:
Architect, design, and implement scalable ML systems for optimized content delivery, connectivity, and personalization.
Lead decision-making for ML infrastructure, cloud pipelines, and deployment strategies.
ML Model Development:
Build and deploy predictive and generative models using TensorFlow, PyTorch, and other frameworks.
Apply GenAI techniques (LLMs, RAG-based retrieval, embeddings, fine-tuning) to deliver personalized in-flight experiences.
Infrastructure & Deployment:
Develop cloud-native ML pipelines (AWS/Azure/GCP) with CI/CD integration.
Ensure scalable, secure, and efficient deployment of ML solutions.
Research & Innovation:
Stay at the forefront of ML and GenAI advancements, evaluating applicability to IFEC use cases.
Contribute to white papers, PoCs, and technical publications.
Collaboration & Mentorship:
Partner with data scientists, engineers, and product managers to translate business needs into ML-driven solutions.
Mentor and guide junior engineers in ML best practices and GenAI applications.
Performance Optimization:
Continuously monitor and refine ML models for latency, scalability, and accuracy improvements.
- Leverage observability and monitoring tools for ongoing optimization.
Qualifications
- Experience: 2-4 years in ML engineering and software development (aerospace/tech industry preferred).
- Programming: Strong in Python and Java.
- Strong Data Science experience
- ML Frameworks: Hands-on with TensorFlow, PyTorch, Hugging Face Transformers.
- GenAI Expertise: Proven experience in LLMs, RAG (Retrieval-Augmented Generation), embeddings, fine-tuning, and prompt engineering.
- Cloud & Deployment: Proficiency in AWS, Azure, or GCP for ML model lifecycle management.
- Problem-Solving: Strong analytical, architectural, and technical documentation skills.
- Education: Bachelor's/Master's degree in Computer Science, Data Science, or related fields.
Our Principles
:
Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude
What We Offer:
At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program
REQ-145830
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