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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