Pipeline run

aa793c42-cbd5-4dd9-81ba-51622c1525c7

Pipeline LLM cost (USD)

API 1: $0.0043 API 2: $0.0000 API 3: $0.0000 Total: $0.0043

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

Nature of work · AI/ML Engineering

Build and scale AI/ML data and feature pipelines, lead ML design/review and production playbooks, and apply Python-based anomaly/behavior/time-series analysis to UEBA, threat detection, and real-time security data systems.

"• Develop and maintain scalable data pipelines for various AI/ML-driven data services, ensuring reliable data ingestion, transformation, and integration from various sources, as well as maintaining ML feature and deployment pipelines."

Tech stack maturity

Mainstream Modern

The stack centers on widely adopted modern data and ML tooling like Python, Kafka, Elasticsearch, scikit-learn, TensorFlow, and PyTorch, which are current mainstream technologies rather than bleeding-edge or legacy.

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

3.20 / 5

✓ Title match

✓ Has AI skill

✓ AI skill (primary)

· AI skill (secondary)

· On AI team

· Builds AI products

vocab breakdown (legacy)

Assistants (×1): —

Frameworks (×2): —

Models / concepts (×3): LLM, LLMs, AI, ML, AI/ML, GenAI, Machine Learning

Evidence — skills matched in JD (28)

Python scikit-learn TensorFlow PyTorch LLM GenAI Time Series Analysis Anomaly Detection Classification Clustering Optimization AIOps Statistics Probability Machine Learning Elasticsearch Kafka SIEM SOAR Data Pipelines Data Ingestion Data Transformation Data Integration Feature Engineering Model Deployment +3

Skill cluster (8 dimension groups, role-scoped)

AI Governance and Model Security

Machine Learning

Asynchronous Messaging and Event Streaming

Kafka

Model Fine-Tuning & Adaptation

PyTorch

Model Monitoring and Drift Detection

Anomaly Detection

Performance and Cost Optimization

Clustering

Python Programming

Python

Search and Content Discovery

Elasticsearch

Cross-cutting / unaligned

scikit-learn TensorFlow LLM GenAI Time Series Analysis Classification Optimization AIOps Statistics Probability SIEM SOAR Data Pipelines Data Ingestion Data Transformation Data Integration Feature Engineering Model Deployment Real-time Data Aggregation Enrichment Cybersecurity

Show KRA description ↓

• Develop and maintain scalable data pipelines for various AI/ML-driven data services, ensuring reliable data ingestion, transformation, and integration from various sources, as well as maintaining ML feature and deployment pipelines. • Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow. • Oversee ML design reviews, create best practices, and develop playbooks for end-to-end ML systems in production. • Lead the development of UEBA, Anomaly detection, Threat detection etc., leveraging the available subject matter expertise and with independent research where required. • Work with a great deal of autonomy and be the technical thought leader in creating a forward-looking vision with clear direction. • Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences. • Collaborate closely with cross-functional teams, including business stakeholders, to innovate and unlock new use cases for our customers driven by data intelligence. • Minimum of 6 years of industry experience as AI/ML Engineer or Data Scientist role, with hands-on development experience. • Hands-on expertise in Time Series Analysis, behavior analytics, and real-time analysis. • Demonstrated experience in AI projects, including familiarity with AI and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, LLMs, GenAI). • Proficiency in Python programming. • Skills in anomaly detection, classification, clustering, optimization, and AI/AIOps and Knowledge in statistics, probability, and other mathematical concepts underlying them. • Knowledge in AI model deployment and integration. • Strong problem-solving capabilities, with the ability to adapt to a dynamic, fast-paced environment. • Excellent communication and teamwork abilities. • Advanced experience with technologies including Elasticsearch, Kafka, SIEM, SOAR, real-time data aggregation, and enrichment. • Good understanding of enterprise cybersecurity landscape and security related data. • Experience in design and technical leadership.

Signals

Skill data-engineer

0.14

Alias ml-engineer

0.48

KRA ai-compliance-officer

0.44

Post-classification

Centroidupdated · n=13

Alias collision log—

New-role queue—

New skills captured21

New KRA captured—

Captured for admin review

LLM primary ↔ AI Engineer pending

GenAI primary ↔ AI Engineer pending

Time Series Analysis primary ↔ AI Engineer pending

Classification primary ↔ AI Engineer pending

Optimization primary ↔ AI Engineer pending

AIOps primary ↔ AI Engineer pending

Statistics primary ↔ AI Engineer pending

Probability primary ↔ AI Engineer pending

Machine Learning primary ↔ AI Engineer pending

Elasticsearch primary ↔ AI Engineer pending

SIEM primary ↔ AI Engineer pending

SOAR primary ↔ AI Engineer pending

Data Pipelines primary ↔ AI Engineer pending

Data Ingestion primary ↔ AI Engineer pending

Data Transformation primary ↔ AI Engineer pending

Data Integration primary ↔ AI Engineer pending

Feature Engineering primary ↔ AI Engineer pending

Model Deployment primary ↔ AI Engineer pending

Real-time Data Aggregation primary ↔ AI Engineer pending

Enrichment primary ↔ AI Engineer pending

Cybersecurity primary ↔ AI Engineer pending

Status: extract_from_jd_done Created: 2026-05-19T00:58:56.410334Z Updated: 2026-05-19T00:58:57.695972Z

Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Principal AI/ML Engineer

Job description
Position: Principal AI/ML Engineer
Exp: 6+ years
Base Location: Hyderabad, Telangana
Notice Period: Immediate to 30 Days


The Principal AI/ML Engineer will be responsible for architecting and building data and ML pipelines across Cybersecurity and IT compliance segment. The ideal candidate is expected to work hands-on and possess deep subject matter expertise in AI/ML infrastructure and platforms. This role is responsible for end-to-end AI/ML operations.


Job Requirements:


• Minimum of 6 years of industry experience as AI/ML Engineer or Data Scientist role, with hands-on development experience.
• Hands-on expertise in Time Series Analysis, behavior analytics, and real-time analysis.
• Demonstrated experience in AI projects, including familiarity with AI and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, LLMs, GenAI).
• Proficiency in Python programming.
• Skills in anomaly detection, classification, clustering, optimization, and AI/AIOps and Knowledge in statistics, probability, and other mathematical concepts underlying them.
• Knowledge in AI model deployment and integration.
• Strong problem-solving capabilities, with the ability to adapt to a dynamic, fast-paced environment.
• Excellent communication and teamwork abilities


Job Responsibilities:


• Develop and maintain scalable data pipelines for various AI/ML-driven data services, ensuring reliable data ingestion, transformation, and integration from various sources, as well as maintaining ML feature and deployment pipelines.
• Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow.
• Oversee ML design reviews, create best practices, and develop playbooks for end-to-end ML systems in production.
• Lead the development of UEBA, Anomaly detection, Threat detection etc., leveraging the available subject matter expertise and with independent research where required.
• Work with a great deal of autonomy and be the technical thought leader in creating a forward-looking vision with clear direction.
• Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences.
• Collaborate closely with cross-functional teams, including business stakeholders, to innovate and unlock new use cases for our customers driven by data intelligence.


Preferred Technical and Professional Expertise:


• Advanced experience with technologies including Elasticsearch, Kafka, SIEM, SOAR, real-time data aggregation, and enrichment.
• Good understanding of enterprise cybersecurity landscape and security related data.
• Experience in design and technical leadership.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Python Primary No API 2 row (run stopped after API 1 or history missing)

scikit-learn Primary No API 2 row (run stopped after API 1 or history missing)

TensorFlow Primary No API 2 row (run stopped after API 1 or history missing)

PyTorch Primary No API 2 row (run stopped after API 1 or history missing)

LLM Primary No API 2 row (run stopped after API 1 or history missing)

GenAI Primary No API 2 row (run stopped after API 1 or history missing)

Time Series Analysis Primary No API 2 row (run stopped after API 1 or history missing)

Anomaly Detection Primary No API 2 row (run stopped after API 1 or history missing)

Classification Primary No API 2 row (run stopped after API 1 or history missing)

Clustering Primary No API 2 row (run stopped after API 1 or history missing)

Optimization Primary No API 2 row (run stopped after API 1 or history missing)

AIOps Primary No API 2 row (run stopped after API 1 or history missing)

Statistics Primary No API 2 row (run stopped after API 1 or history missing)

Probability Primary No API 2 row (run stopped after API 1 or history missing)

Machine Learning Primary No API 2 row (run stopped after API 1 or history missing)

Elasticsearch Primary No API 2 row (run stopped after API 1 or history missing)

Kafka Primary No API 2 row (run stopped after API 1 or history missing)

SIEM Primary No API 2 row (run stopped after API 1 or history missing)

SOAR Primary No API 2 row (run stopped after API 1 or history missing)

Data Pipelines Primary No API 2 row (run stopped after API 1 or history missing)

Data Ingestion Primary No API 2 row (run stopped after API 1 or history missing)

Data Transformation Primary No API 2 row (run stopped after API 1 or history missing)

Data Integration Primary No API 2 row (run stopped after API 1 or history missing)

Feature Engineering Primary No API 2 row (run stopped after API 1 or history missing)

Model Deployment Primary No API 2 row (run stopped after API 1 or history missing)

Real-time Data Aggregation Primary No API 2 row (run stopped after API 1 or history missing)

Enrichment Primary No API 2 row (run stopped after API 1 or history missing)

Cybersecurity Primary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.

nano JD Parser — gpt-4.1-nano click to toggle

RolePrincipal AI/ML Engineer

Experience6+ years

DomainCybersecurity

Location Hyderabad, India

JD type pass

Show raw JSON

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API 1 — extract-from-jd click to toggle

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        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Elasticsearch",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 960,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "SIEM",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 961,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "SOAR",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 962,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Data Pipelines",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 963,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Data Ingestion",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 964,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Data Transformation",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 965,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Data Integration",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 966,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Feature Engineering",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 967,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Model Deployment",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 968,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Real-time Data Aggregation",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 969,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Enrichment",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 970,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Cybersecurity",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}

API 2 — extract-details

{}

API 3 — final-role-output

{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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