Tigera

1 month ago

Senior AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead the ML/AI efforts for a new product that detects and governs AI agents in enterprise infrastructure. Own end-to-end modelling from runtime telemetry to risk scores and behavioural baselines; apply LLMs to bridge security intent and policy; shape telemetry pipelines, model deployment, and A/B testing. Cork-based, with in-office presence twice a week, contributing to a fast-growing, collaborative engineering team.

Location: Cork

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Own the machine learning and applied AI side of the product, turning the considerable agent telemetry our platform captures into the detections, risk scores, and behavioural baselines that decide whether an AI agent gets to run inside a regulated enterprise.
•Include classification from runtime telemetry, behavioural threat detection and using LLMs to bridge the gap between security intent and machine-enforceable policy.
•Be the AI/ML voice in broader architecture decisions – the telemetry pipeline, product features and roadmap, model deployment and versioning, and A/B testing of detection models in production.
•Design and build ML systems on top of existing data infrastructure, ensuring scalable, reliable, and interpretable models for enterprise customers.
•Collaborate with a Cork-based team, with in-office presence twice a week and opportunities to publish or present research at conferences.

Pay and Benefits

Perks:Health InsuranceVisionDental

Key Requirements

•5+ years of professional ML engineering experience, with at least two years building and deploying production ML systems
•Strong fundamentals in classical machine learning – gradient-boosted trees, regression, classification, evaluation methodology, feature engineering, dealing with class imbalance and noisy labels
•Experience with anomaly detection or time-series modelling in adjacent domains (fraud detection, observability, recommendation systems, fault detection etc)
•Hands-on experience using LLMs for applied tasks beyond chatbots – function calling, retrieval-augmented generation, prompt engineering, fine-tuning, evaluation
•Python and the standard ML ecosystem (scikit-learn, PyTorch or TensorFlow, pandas)

Experience:5+ yearsMachine learningSecurityCloudObservability

Skills:PythonPyTorchTensorFlowScikit-learnPandasClickHouseBigQuerySnowflakeSparkLLMsPrompt engineering

Languages:English

Tech Stack:PythonPyTorchTensorFlowScikit-learnPandasClickHouseBigQuerySnowflakeSparkLLMsPrompt engineering

Company Brief

Tigera

Provides cloud-native networking and security solutions for Kubernetes and modern applications, including Calico Enterprise for network policy, observability, and threat protection across hybrid and multi-cloud environments.

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Tigera

1 month ago

Senior AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Cork

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Own the machine learning and applied AI side of the product, turning the considerable agent telemetry our platform captures into the detections, risk scores, and behavioural baselines that decide whether an AI agent gets to run inside a regulated enterprise.
•Include classification from runtime telemetry, behavioural threat detection and using LLMs to bridge the gap between security intent and machine-enforceable policy.
•Be the AI/ML voice in broader architecture decisions – the telemetry pipeline, product features and roadmap, model deployment and versioning, and A/B testing of detection models in production.
•Design and build ML systems on top of existing data infrastructure, ensuring scalable, reliable, and interpretable models for enterprise customers.
•Collaborate with a Cork-based team, with in-office presence twice a week and opportunities to publish or present research at conferences.

Pay and Benefits

Perks:Health InsuranceVisionDental

Key Requirements

•5+ years of professional ML engineering experience, with at least two years building and deploying production ML systems
•Strong fundamentals in classical machine learning – gradient-boosted trees, regression, classification, evaluation methodology, feature engineering, dealing with class imbalance and noisy labels
•Experience with anomaly detection or time-series modelling in adjacent domains (fraud detection, observability, recommendation systems, fault detection etc)
•Hands-on experience using LLMs for applied tasks beyond chatbots – function calling, retrieval-augmented generation, prompt engineering, fine-tuning, evaluation
•Python and the standard ML ecosystem (scikit-learn, PyTorch or TensorFlow, pandas)

Experience:5+ yearsMachine learningSecurityCloudObservability

Skills:PythonPyTorchTensorFlowScikit-learnPandasClickHouseBigQuerySnowflakeSparkLLMsPrompt engineering

Languages:English

Tech Stack:PythonPyTorchTensorFlowScikit-learnPandasClickHouseBigQuerySnowflakeSparkLLMsPrompt engineering

Company Brief

Tigera

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn