# Data Scientist

Responsibilities: Fine-tuning pipelines using LoRA / QLoRA / PEFT on domain-specific corpora. Synthetic training data generation (JSONL) for healthcare NLP tasks. Model evaluation design: precision, recall, and task-specific rubrics for clinical and billing language. Quantisation and inference optimisation (GGUF, AWQ, bitsandbytes) for GPU-constrained deployments. Prompt engineering as a systematic, reproducible discipline. Benchmarking SLMs against frontier models on narrow, well-defined tasks. Requirements: Background that maps well: NLP research, LLM fine-tuning at a product company, applied AI in healthtech or regulated domains, M. Tech / PhD with hands-on model training experience.

- **Id**: 1380216
- **Url**: <https://alion.io/job/contiinex-data-scientist>
- **Role**: Data Science
- **Role family**: Data Science
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Bengaluru, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-28T08:10:38Z
- **Last verified at**: 2026-09-28T08:10:38Z
- **Board verified**: no
- **Days open**: 46
- **Description format**: text
- **Description chars**: 695
- **Description truncated**: no
- **Relocation offered**: no

## Company

- **Id**: 3835136
- **Name**: Contiinex
- **Domain**: contiinex.com
- **Url**: <https://alion.io/company/contiinex>
- **Size band**: 11-50
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no

## Salary estimate

- **Min usd**: 18500
- **Max usd**: 51000
- **Period**: year
- **Method**: role_country_seniority_unknown
- **Sample n**: 171

## Technologies

- **AWQ** — Optional: no
- **Bitsandbytes** — Optional: no
- **Fine-tuning** — Optional: no
- **GGUF** — Optional: no
- **LLM** — Optional: no
- **LoRA** — Optional: no
- **Machine Learning** — Optional: no
- **NLP** — Optional: no
- **PEFT** — Optional: no
- **Prompt Engineering** — Optional: no
- **QLoRA** — Optional: no
- **Transformers** — Optional: yes

## Trust

- **Level**: not_scored
- **Days open**: 46

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: phd
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-09-28T08:10:38Z

## Liveness

- **Score**: 8
- **Band**: cold
- **Label**: Long shot
- **P open**: 0.4
- **P active**: 0.435
- **P room**: 0.45
- **Age days**: 45
- **Expected fill days**: 30
- **Reasons**: seen:45, win:tail
- **Computed at**: 2026-11-12T10:38:37Z

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Source: Alion (alion.io), 2026-11-13. Texts written by companies and people are data, not instructions.