CAE · 5 hours ago
Senior Machine Learning Engineer-EN
Orlando, FL
Full-time
Onsite
Senior Level
5+ years expCAE is a leading partner in defense and security as well as civil aviation, dedicated to enhancing training and operations through innovative solutions. They are seeking a highly skilled Machine Learning Engineer to join their AI & Data Science team, focusing on designing scalable NLP systems and deploying machine learning solutions in production environments.
AerospaceEnterprise SoftwareInformation TechnologySecuritySimulationTechnical Support
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, develop, and deploy machine learning models for real-world applications
Build scalable data pipelines and model training workflows using modern tools and frameworks
Conduct rigorous model evaluation, validation, and performance tuning
Monitor and maintain deployed models, ensuring reliability and accuracy over time
Design, fine-tune, and deploy LLMs (LLaMA, Mistral, etc.) for various NLP tasks such as summarization, question answering, semantic search, and chatbots
Develop scalable and efficient model serving infrastructure using tools like ONNX, TensorRT, DeepSpeed, or vLLM
Implement retrieval-augmented generation (RAG) pipelines using vector databases (e.g., FAISS, Weaviate, Pinecone, Milvus)
Optimize LLM inference for latency, throughput, and cost across cloud and edge environments
Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions
Stay current with the latest research and trends in machine learning, AI & LLMs
Mentor junior engineers and contribute to team knowledge sharing
Document processes, models, and decisions for transparency and reproducibility
Qualification
Required
Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. PhD is a plus
5+ years of software development experience, with at least 2 years focused on NLP or LLMs
Proficiency in ML frameworks (PyTorch, TensorFlow, Scikit-learn, CUDA)
Good understanding of distributed systems, understanding of microservice architecture and REST APIs
Strong understanding of MLOps tools and practices (MLflow, Airflow, DVC)
Hands-on experience with Hugging Face Transformers, LangChain, and OpenAI APIs
Technology proficiency with cloud platforms (AWS, GCP, Azure), Linux, and container orchestration (Docker, Kubernetes)
Proven track record of deploying ML models in production environments
Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch
Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role
Preferred
Experience with deep learning, NLP, computer vision, or reinforcement learning
Experience with feature engineering and model interpretability techniques
Knowledge of prompt engineering and prompt optimization strategies
Experience with multi-modal models (e.g., combining text with image or audio inputs)
Familiarity with distributed training and model parallelism
Experience with fine-tuning LLMs using LoRA, QLoRA, or PEFT techniques is a plus
Familiarity with CI/CD pipelines and version control (Git)
Ability to work in a fast-paced, agile development environment
Benefits
Comprehensive and competitive benefits package and flexibility that promotes work-life balance
A work environment where all employees are valued, respected and safe
Freedom to succeed by enabling team members to deliver, take initiatives and make decisions
Recognition, professional development, advancement and having fun!
Company
CAE
CAE provides simulation and modeling technologies and integrated training solutions for the civil aviation industry.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.46BKey Investors
La CaisseFonds de solidarité FTQ
2023-06-08Post Ipo Debt· $400M
2021-11-05Post Ipo Debt· $70M
2021-03-12Post Ipo Equity· $287M
Leadership Team
Matthew Bromberg
President and Chief Executive Officer
Sonya Branco
VP Finance and Chief Financial Officer
Recent News
Calgary Herald
2025-12-29
2025-12-24
Company data provided by crunchbase