Sr. Machine Learning Engineer
Core
Developing, enhancing, and maintaining Machine Learning pipelines, data science solutions, infrastructure, and deployment of ML models for existing and new software products.
Role type
Senior Machine Learning Engineer (MLOps & Production Deployment)
Builds
Production ML models, scalable ML architecture, data pipelines, and microservices
Domain
Cybersecurity / Machine Learning Engineering
Deliverable
production ML models
Required skills
ML engineering, system architecture design, MLOps, data processing, model training, microservices deployment, cloud integration, Python, Java, C++, PyTorch, TensorFlow, scikit-learn, MLflow, Kubeflow
Preferred skills
LLMs, generative models, cybersecurity domain expertise
Technologies
AWS, Python, Java, C++, PyTorch, TensorFlow, scikit-learn, MLflow, Kubeflow
Responsibilities
Lead complex ML engineering projects, design and deploy scalable ML architectures, collaborate with data scientists to optimize models, mentor junior team members, define development best practices, evaluate new platforms and technologies, serve as technical expert on ML model deployment and benchmarking
Seniority
Senior, hands-on IC with mentorship responsibilities