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Pipeline run

ed8b9697-17a5-48a3-9dc6-092576abbb9c

Pipeline LLM cost (USD)
API 1: $0.0045 API 2: $0.0000 API 3: $0.0000 Total: $0.0045

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Generative AI / LLM Engineering
Build and fine-tune generative AI/LLM solutions by preparing and augmenting data, training models on custom datasets, and deploying them on cloud platforms with Python/.NET backends and AI pipelines.
"“Collect and prepare data for training and evaluating multimodal foundation models.”"
Tech stack maturity
Modern Cloud Native
The stack combines current cloud platforms, container orchestration, and modern AI/ML tooling such as embeddings, OpenAI, PyTorch, and TensorFlow, which is characteristic of modern cloud-native engineering.
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): OpenAI, Transformers, embeddings, LLM, NLP, computer vision, multimodal, AI, GenAI, Generative AI, Machine Learning, Deep Learning
Evidence — skills matched in JD (28)
Python .NET TensorFlow PyTorch Keras AWS Azure GCP Docker Kubernetes OpenAI GANs VAEs Transformers NLP Machine Learning Deep Learning Embeddings Data Preprocessing Data Augmentation Language Modeling Text Generation GPT Azure Cognitive Services Computer Vision +3
Skill cluster (8 dimension groups, role-scoped)
Cloud Platforms for AI Deployment
AWS Azure GCP
AI Governance and Model Security
Machine Learning
Containerization and Image Builds
Docker
Kubernetes for ML Workloads
Kubernetes
ML Frameworks and Libraries
Embeddings
Model Fine-Tuning & Adaptation
PyTorch
Python Programming
Python
Cross-cutting / unaligned
.NET TensorFlow Keras OpenAI GANs VAEs Transformers NLP Deep Learning Data Preprocessing Data Augmentation Language Modeling Text Generation GPT Azure Cognitive Services Computer Vision Chunking Synthetic Data Sentiment Analysis
Show KRA description ↓
• Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. • Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) • Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. • Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. • Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. • Integrate AI models with our company's data to enhance and augment existing applications. • Handle data preprocessing, augmentation, and generation of synthetic data. • Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) • Develop and Maintaining AI Pipelines • Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. • Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions • Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. • Ensure the robustness, efficiency, and scalability of AI systems. • Stay updated with the latest advancements in AI and machine learning technologies. • Strong foundation in machine learning, deep learning, and computer science. • Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). • Experience with natural language processing (NLP) and computer vision is a plus. • Ability to work independently and as part of a team. • Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. • Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. • Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. • Experience in developing and deploying AI models in production environments. • Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions • Should be able to bring new ideas and innovative solutions to our clients.

Signals

Skill ml-engineer
0.29
Alias ai-engineer
0.52
KRA ai-engineer
0.47

Post-classification

Centroidupdated · n=8
Alias collision log—
New-role queue—
New skills captured17
New KRA captured—

Captured for admin review

.NET primary ↔ AI Engineer pending
Keras primary ↔ AI Engineer pending
GANs primary ↔ AI Engineer pending
VAEs primary ↔ AI Engineer pending
Transformers primary ↔ AI Engineer pending
NLP primary ↔ AI Engineer pending
Computer Vision ↔ AI Engineer pending
Machine Learning primary ↔ AI Engineer pending
Deep Learning primary ↔ AI Engineer pending
Chunking ↔ AI Engineer pending
Synthetic Data ↔ AI Engineer pending
Data Preprocessing primary ↔ AI Engineer pending
Language Modeling primary ↔ AI Engineer pending
Text Generation primary ↔ AI Engineer pending
Sentiment Analysis ↔ AI Engineer pending
GPT primary ↔ AI Engineer pending
Azure Cognitive Services primary ↔ AI Engineer pending
Status: extract_from_jd_done Created: 2026-05-19T00:14:19.856513Z Updated: 2026-05-19T00:14:21.066134Z
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

Gen AI Engineer - Coimbatore

Role –Senior Gen AI Engineer

Experience : 3 Yr To 12 Yr

Location : Coimbatore

Mode of Interview - In Person

Date : 11th Oct 2025 (Saturday)

Job Description

• Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
• Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
• Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
• Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
• Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS.
• Integrate AI models with our company's data to enhance and augment existing applications.


Role & Responsibility

• Handle data preprocessing, augmentation, and generation of synthetic data.
• Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
• Develop and Maintaining AI Pipelines
• Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
• Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
• Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
• Ensure the robustness, efficiency, and scalability of AI systems.
• Stay updated with the latest advancements in AI and machine learning technologies.


Skills & Experience

• Strong foundation in machine learning, deep learning, and computer science.
• Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
• Experience with natural language processing (NLP) and computer vision is a plus.
• Ability to work independently and as part of a team.
• Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
• Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
• Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.
• Experience in developing and deploying AI models in production environments.
• Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions
• Should be able to bring new ideas and innovative solutions to our clients

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)
.NET 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)
Keras Primary No API 2 row (run stopped after API 1 or history missing)
AWS Primary No API 2 row (run stopped after API 1 or history missing)
Azure Primary No API 2 row (run stopped after API 1 or history missing)
GCP Primary No API 2 row (run stopped after API 1 or history missing)
Docker Primary No API 2 row (run stopped after API 1 or history missing)
Kubernetes Primary No API 2 row (run stopped after API 1 or history missing)
OpenAI Primary No API 2 row (run stopped after API 1 or history missing)
GANs Primary No API 2 row (run stopped after API 1 or history missing)
VAEs Primary No API 2 row (run stopped after API 1 or history missing)
Transformers Primary No API 2 row (run stopped after API 1 or history missing)
NLP Primary No API 2 row (run stopped after API 1 or history missing)
Computer Vision Secondary 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)
Deep Learning Primary No API 2 row (run stopped after API 1 or history missing)
Embeddings Primary No API 2 row (run stopped after API 1 or history missing)
Chunking Secondary No API 2 row (run stopped after API 1 or history missing)
Synthetic Data Secondary No API 2 row (run stopped after API 1 or history missing)
Data Preprocessing Primary No API 2 row (run stopped after API 1 or history missing)
Data Augmentation Primary No API 2 row (run stopped after API 1 or history missing)
Language Modeling Primary No API 2 row (run stopped after API 1 or history missing)
Text Generation Primary No API 2 row (run stopped after API 1 or history missing)
Sentiment Analysis Secondary No API 2 row (run stopped after API 1 or history missing)
GPT Primary No API 2 row (run stopped after API 1 or history missing)
Azure Cognitive Services 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
RoleSenior Gen AI Engineer
Experience3 Yr To 12 Yr
DomainIT Services & Consulting
Location Coimbatore, India
JD type pass
Show raw JSON 
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API 1 — extract-from-jd click to toggle 
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        "role_slug": "ai-engineer",
        "skill_name": "Transformers",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 529,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "NLP",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 530,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Computer Vision",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 531,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Machine Learning",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 532,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Deep Learning",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 533,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Chunking",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 534,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Synthetic Data",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 535,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Data Preprocessing",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 536,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Language Modeling",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 537,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Text Generation",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 538,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Sentiment Analysis",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 539,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "GPT",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 540,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Azure Cognitive Services",
        "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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