Machine Learning Engineer
Building intelligent systems that solve real-world challenges
Job Description
We're seeking a visionary Machine Learning Engineer to join our high-impact team. You'll leverage cutting-edge AI technologies to develop systems that transform raw data into actionable insights across our platform.
Responsibilities
- • Design and implement production-ready ML models for NLP and computer vision tasks
- • Collaborate with data scientists to optimize model performance
- • Build scalable model-serving architectures
- • Conduct research on emerging ML techniques
- • Design monitoring systems for model behavior patterns
- • Work closely with product teams to solve business problems
Requirements
- • Master's or PhD in ML/AI, Computer Science, or related field
- • 3+ years production ML experience with Python frameworks (PyTorch/TensorFlow)
- • Strong math/statistics foundation for model analysis
- • Experience with distributed ML systems (Kubeflow, Ray)
- • Proficient in model evaluation and interpretability
- • Familiar with vector databases and retrieval systems
Our Technical Stack
Model Training
PyTorch · Transformers · Ray · AWS SageMaker
Serving
Triton Inference · FastAPI · LangChain
Infrastructure
Kubernetes · Istio · PostgreSQL · Redis
How to Apply
If you're passionate about building ML systems that make a difference, we'd love to hear from you. Click below to submit your application with:
- • Your resume and LinkedIn profile
- • GitHub links showcasing ML projects
- • Technical blog posts or research papers
"The best way to predict the future is to build it." - Your future at ΣΣbs