AI Research Engineer - Applied AI
New
P
PlexTracCybersecurity SaaS
Remote — India only., Core working hours that partially overlap with U.S. Eastern Time.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonMachine LearningPyTorchTensorflowscikit-learnMLOps
Requirements
- 3+ years of software engineering experience with a focus on machine learning in production environments
- Hands-on experience building and shipping ML models from training through to deployment and maintenance
- Strong Python skills
- Working knowledge of common ML libraries such as scikit-learn, PyTorch, or TensorFlow
- Experience working with large, messy datasets including cleaning, labeling, and structuring data
- Familiarity with MLOps basics including versioning, monitoring, and retraining models
- Ability to evaluate model performance and explain trade-offs to non-technical stakeholders
- Working knowledge of backend systems and API design
Responsibilities
- Build, train, and evaluate machine learning models that detect security threats and unusual system behavior
- Develop and maintain production AI features: prompt orchestration, retrieval-augmented generation (RAG), model serving, and observability
- Work with raw security data — logs, network traffic, event streams — to build reliable training datasets
- Build and maintain automated pipelines for model performance reporting and operational workflows
- Design and maintain data ingestion and transformation services used by downstream AI systems
- Monitor models in production, identify performance issues, and ship fixes
- Test models for accuracy, bias, and reliability before they reach production
- Work closely with security analysts to understand detection requirements and translate them into model improvements
- Design distributed training environments, optimize computational efficiency, and manage GPU clusters
- Fine-tune and evaluate LLMs and deep learning models using SFT and RLHF techniques
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