# AI / ML Engineer

Project Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Data Scientist with 5 to 7 years of experience, and at least 3+ years of genuine experience in building production-grade ML models (Regression, Forecasting, Classification etc.) and getting them deployed in production rather than just proof of concept or learning projects. Roles & Responsibilities: - At least 3+ years of relevant experience in data science, specifically in building and deploying production models (Regression, Forecasting, Classification etc.)) rather than just proof of concept or learning projects - Experience in building or training machine learning models to a production environment that are actively used by end-users or systems - Exper

- **Id**: 4220170
- **Url**: <https://alion.io/job/accenture-ai-ml-engineer-100>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: senior
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Bengaluru, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 8
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-11T00:00:00Z
- **Employer posted date**: 2026-11-11
- **Last verified at**: 2026-11-13T04:23:42Z
- **Board verified**: yes
- **Days open**: 2
- **Description format**: text
- **Description chars**: 4232
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: IT Consulting & Digital Transformation, Systems Integrators, Business Process Outsourcing (BPO), Management Consulting

## Company

- **Id**: 271
- **Name**: Accenture
- **Domain**: accenture.com
- **Url**: <https://alion.io/company/accenture>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: services
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: A
- **Score**: 100
- **Open postings**: 2137
- **Ghost share**: 0.001
- **Stale share**: 0.182
- **Repost share**: 0.007
- **Time to fill p50 days**: 5
- **Computed at**: 2026-11-12T10:38:37Z

## Technologies

- **Agile** — Optional: yes
- **Azure** — Optional: yes
- **Confluence** — Optional: yes
- **Git** — Optional: yes
- **Jira** — Optional: yes
- **Machine Learning** — Optional: yes
- **Python** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 2

## Requirements

- **Experience years min**: 8
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-13T04:23:42Z

## Liveness

- **Score**: 77
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 0.9
- **Age days**: 2
- **Expected fill days**: 5
- **Reasons**: conf:4, win:mid, comp:brand
- **Computed at**: 2026-11-13T08:39:28Z

---
[Page](https://alion.io/job/accenture-ai-ml-engineer-100) · [JSON](https://alion.io/job/accenture-ai-ml-engineer-100.json)

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