Position Details
About this role
This role involves designing, training, and evaluating machine learning models for AI-enabled security and observability platforms. The candidate will develop robust ML pipelines, optimize models, and stay current with AI research to solve real customer problems.
Key Responsibilities
- Design, train, and evaluate ML models
- Build and maintain ML pipelines
- Optimize model performance
- Collaborate with researchers and engineers
- Stay current with ML research
Technical Overview
The technical environment includes Python, PyTorch, TensorFlow, MLflow, Weights & Biases, Kubeflow, with a focus on NLP, computer vision, reinforcement learning, and MLOps practices.
Ideal Candidate
The ideal candidate is a mid-level AI/ML researcher with 5+ years of hands-on experience training and evaluating models, proficient in Python and frameworks like PyTorch or TensorFlow, and familiar with MLOps tools such as MLflow and Kubeflow. They are collaborative, curious, and motivated to advance AI research into production.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of hands-on ML model training experience, No proficiency in Python, No experience with ML frameworks or MLOps tools
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