Pipeline run
d2f8f067-6186-4353-a97f-0cf9944abeac
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research & informatics…
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Data Scientist
CASE Aslug: data-scientist · id: 49 · source: db
Exact alias hit on data-scientist (1.0) — no other alias at this confidence; skill_top absent does not contradict
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Job Description Aristocrat IT Solutions Pvt Ltd is a futuristic Research oriented – AI & Deep Tech informatics IT Company, specializing in providing solutions in knowledge, Research informatics, intelligence and software development. We are on a mission to help diversified Research industries and Researchers worldwide to provide Informatics and Technology Entrepreneurial solutions, data science analytics and computational insights. We invite you to join the team of Aristocrat to have a new journey into the evolving future. This could be start of your new life to Evolve and contribute. We are a global hybrid workforce enabled, friendly cultured, IT Organization. Come let’s evolve the world. Come Together to a journey to enrich your nobility. WHAT CAN YOU EXPECT FROM ARISTOCRAT? A high quality knowledge friendly environment with great colleagues who can coach you and support in your work success. Enhanced quality of life through continuous learning and fulfillment. Opportunity to grow, express creativity, coach others and evolve in your roles and responsibilities as days moves on. Role Responsibilities /Job Description To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research & informatics problems through, documentation, developing insights and implementations. You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs. Qualification PhD / Master / Bachlors ONLY apply. (All subject/domains) People with extreme flair for personal development and achieving organizational goals can apply. Willingness for excellence is much expected. If you feel you can uplift and contribute through long term association with Aristocrat, all required skills will be extensively trained. Compensation Salary is not a constraint for the Right Candidate. Age : 25 to 40 Interview Process: Apply now and Send your CV to HR- Director HR@AristocratITsolutions.com (Mention the Position You are Applying) Head Office address: (Direct walkin: Monday - Saturday 2pm-5pm) Aristocrat IT Solutions Pvt Ltd. A futuristic – Deep Tech informatics company 2A, No: 4, Sri Durga Enclave, Natesan Avenue, OMR, Karapakkam, adjacent to Arvind theatre, Chennai – 97. Requirements Good working Laptop. Extremely good workstation.(if work is sought from home) High Speed internet. Webcam.(HD/4K). Benefits Extreme Learning and training environment. Continuous growth every 3 months financially & in Responsibilities. Compensation based on contribution value. Requirements Good working Laptop. Extremely good workstation.(if work is sought from home) High Speed internet. Webcam.(HD/4K).
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Soft Skills
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Soft Skills
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Scientific Research | type=Soft Skills subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Informatics | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Documentation | type=Soft Skills subtype=general nature=PRACTICE lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Aristocrat IT Solutions Pvt Ltd",
"last_5_words": "intelligence and software development."
},
"text": "Aristocrat IT Solutions Pvt Ltd is a futuristic Research oriented \u2013 AI \u0026 Deep Tech informatics IT Company, specializing in providing solutions in knowledge, Research informatics, intelligence and software development.",
"word_count": 30
},
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"Analytics",
"Express",
"Role",
"roles",
"goals"
],
"certifications": [],
"company_name": "Aristocrat IT Solutions Pvt Ltd",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Doctorate",
"qualification": "PhD/Master/BTECH/BE - Any Discipline",
"raw": "PhD / Master / Bachlors ONLY apply. (All subject/domains)",
"requirement": "required"
},
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE - Any Discipline",
"raw": "PhD / Master / Bachlors ONLY apply. (All subject/domains)",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": null,
"raw": "Age : 25 to 40"
},
"job_locations": [
{
"aliases": [
"Chennai",
"Madras"
],
"city": "Chennai",
"country": "India",
"state": "Tamil Nadu",
"work_mode": "hybrid"
}
],
"role": "Researcher",
"role_aliases": [
"Research Scientist",
"Data Scientist",
"AI Researcher"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "Role Responsibilities /Job Description",
"heading_was_present": true,
"source_marker": {
"first_5_words": "To Communicate and interact with",
"last_5_words": "as a part of our"
},
"text": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics problems through, documentation, developing insights and implementations. You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs.",
"word_count": 54
}
],
"urls": [
{
"type": "other",
"url": "HR@AristocratITsolutions.com"
}
]
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Scientific Research"
},
{
"is_primary": true,
"skill_name": "Informatics"
},
{
"is_primary": false,
"skill_name": "Documentation"
}
],
"jd_role": {
"display_name": "Researcher",
"rationale": null,
"role_aliases": [
"Research Scientist",
"Data Scientist",
"AI Researcher"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Aristocrat IT Solutions Pvt Ltd",
"last_5_words": "intelligence and software development."
},
"text": "Aristocrat IT Solutions Pvt Ltd is a futuristic Research oriented \u2013 AI \u0026 Deep Tech informatics IT Company, specializing in providing solutions in knowledge, Research informatics, intelligence and software development.",
"word_count": 30
},
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"Analytics",
"Express",
"Role",
"roles",
"goals"
],
"certifications": [],
"company_name": "Aristocrat IT Solutions Pvt Ltd",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Doctorate",
"qualification": "PhD/Master/BTECH/BE - Any Discipline",
"raw": "PhD / Master / Bachlors ONLY apply. (All subject/domains)",
"requirement": "required"
},
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE - Any Discipline",
"raw": "PhD / Master / Bachlors ONLY apply. (All subject/domains)",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": null,
"raw": "Age : 25 to 40"
},
"job_locations": [
{
"aliases": [
"Chennai",
"Madras"
],
"city": "Chennai",
"country": "India",
"state": "Tamil Nadu",
"work_mode": "hybrid"
}
],
"role": "Researcher",
"role_aliases": [
"Research Scientist",
"Data Scientist",
"AI Researcher"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "Role Responsibilities /Job Description",
"heading_was_present": true,
"source_marker": {
"first_5_words": "To Communicate and interact with",
"last_5_words": "as a part of our"
},
"text": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics problems through, documentation, developing insights and implementations. You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs.",
"word_count": 54
}
],
"urls": [
{
"type": "other",
"url": "HR@AristocratITsolutions.com"
}
]
},
"rejected": false,
"rejection_reason": null,
"run_id": "d2f8f067-6186-4353-a97f-0cf9944abeac",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Data Scientist",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 49,
"score": 1.0,
"slug": "data-scientist",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Engineering Manager",
"kra_matches": [
{
"kra_text": "coach performance and growth",
"sentence": "You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs.",
"similarity": 0.3533
},
{
"kra_text": "facilitate technical and delivery decisions",
"sentence": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics problems through, documentation, developing insights and implementations.",
"similarity": 0.3509
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 121,
"score": 0.3521,
"slug": "engineering-manager",
"total_count": null
},
{
"display_name": "Fullstack Developer",
"kra_matches": [
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics problems through, documentation, developing insights and implementations.",
"similarity": 0.3798
},
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs.",
"similarity": 0.2671
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 15,
"score": 0.3235,
"slug": "full-stack-engineer",
"total_count": null
},
{
"display_name": "Flutter Developer",
"kra_matches": [
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics problems through, documentation, developing insights and implementations.",
"similarity": 0.4021
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs.",
"similarity": 0.2405
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 74,
"score": 0.3213,
"slug": "flutter-developer",
"total_count": null
},
{
"display_name": "ML Engineer",
"kra_matches": [
{
"kra_text": "Prepares, cleans, and transforms training datasets, manages feature stores, and builds feature engineering pipelines for model training.",
"sentence": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics problems through, documentation, developing insights and implementations.",
"similarity": 0.3338
},
{
"kra_text": "Designs end-to-end ML training pipelines and model inference workflows using TensorFlow, PyTorch, or scikit-learn on cloud ML platforms.",
"sentence": "You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs.",
"similarity": 0.3078
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 3,
"score": 0.3208,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "MLOps Engineer",
"kra_matches": [
{
"kra_text": "Coordinates model promotion workflows across development, staging, and production environments including integration testing and data contract validation.",
"sentence": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics problems through, documentation, developing insights and implementations.",
"similarity": 0.3228
},
{
"kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
"sentence": "You will be trained on the skills required to excel in the workplace as a part of our continuous learning programs.",
"similarity": 0.2956
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 16,
"score": 0.3092,
"slug": "ml-ops-engineer",
"total_count": null
}
],
"skill_match_roles": []
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "A",
"chosen_role": {
"display_name": "Data Scientist",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 49,
"score": 1.0,
"slug": "data-scientist",
"total_count": null
},
"confidence": 1.0,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [],
"matched_kras": [],
"matched_skills": [],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Exact alias hit on data-scientist (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 9,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": {
"best_kra_similarity": 0.0,
"queue_id": 1175,
"r_and_r_preview": "To Communicate and interact with Team members and research clients to facilitate scientific progress. (you will be extensively coached on it) To computationally solve scientific research \u0026 informatics",
"role_display_name": "Data Scientist",
"role_slug": "data-scientist",
"status": "pending"
},
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 16487,
"role_display_name": "Data Scientist",
"role_slug": "data-scientist",
"skill_name": "Scientific Research",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 16488,
"role_display_name": "Data Scientist",
"role_slug": "data-scientist",
"skill_name": "Informatics",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 16489,
"role_display_name": "Data Scientist",
"role_slug": "data-scientist",
"skill_name": "Documentation",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
"alias_matches": [],
"candidate_roles": [],
"chosen_role": {
"display_name": "Data Scientist",
"id": 49,
"rationale": "Exact alias hit on data-scientist (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
"role_archetype": "Engineering",
"slug": "data-scientist",
"source": "db"
},
"dimensions": [],
"input_final_skills": [
"Scientific Research",
"Informatics",
"Documentation"
],
"input_llm_skills": [
"Scientific Research",
"Informatics",
"Documentation"
],
"new_aliases_persisted": 0,
"run_id": "d2f8f067-6186-4353-a97f-0cf9944abeac",
"skills_detail": [
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Scientific Research",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Soft Skills",
"skill_nature": "PRACTICE",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "scientific-research",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Informatics",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Concepts",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "informatics",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Documentation",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Soft Skills",
"skill_nature": "PRACTICE",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "documentation",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Scientific Research",
"Informatics",
"Documentation"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Data Scientist",
"id": 49,
"rationale": "Exact alias hit on data-scientist (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
"role_archetype": "Engineering",
"slug": "data-scientist",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Scientific Research",
"tag": "new"
},
{
"skill": "Informatics",
"tag": "new"
},
{
"skill": "Documentation",
"tag": "new"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 0
},
"planner_output": null,
"run_id": "d2f8f067-6186-4353-a97f-0cf9944abeac"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.