# 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, Machine Learning (ML), Python Frameworks, MySQL Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for a skilled Data Scientist with strong experience in traditional machine learning techniques such as regression, classification, and statistical modeling. The ideal candidate should have deep expertise in Python and SQL, strong analytical thinking, and hands-on experience in building and validating predictive models. This role is not focused on GenAI/NLP, and candidates with heavy LLM-focused profiles without strong core Data Science fundamentals may not be suitable. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisio

- **Id**: 3786305
- **Url**: <https://alion.io/job/accenture-ai-ml-engineer-86>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: senior
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Chennai, 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**: 2026-11-03T00:00:00Z
- **Employer posted date**: 2026-11-03
- **Last verified at**: 2026-11-06T00:01:10Z
- **Board verified**: yes
- **Days open**: 3
- **Description format**: text
- **Description chars**: 6280
- **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**: 2118
- **Ghost share**: 0.001
- **Stale share**: 0.166
- **Repost share**: 0.006
- **Time to fill p50 days**: 5
- **Computed at**: 2026-11-05T05:54:30Z

## Technologies

- **Machine Learning** — Optional: no
- **MySQL** — Optional: no
- **Python** — Optional: no
- **A/B Testing** — Optional: yes
- **AWS** — Optional: yes
- **Azure** — Optional: yes
- **Databricks** — Optional: yes
- **GCP** — Optional: yes
- **LLM** — Optional: yes
- **MLFlow** — Optional: yes
- **NLP** — Optional: yes
- **NumPy** — Optional: yes
- **Pandas** — Optional: yes
- **pySpark** — Optional: yes
- **Scikit-learn** — Optional: yes
- **Spark** — Optional: yes
- **SQL** — Optional: yes
- **XGBoost** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 3

## Requirements

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

## Lifecycle

- Event: open; At: 2026-11-05T03:46:46Z

## Liveness

- **Score**: 40
- **Band**: fade
- **Label**: Fading
- **P open**: 1
- **P active**: 0.591
- **P room**: 0.9
- **Age days**: 2
- **Expected fill days**: 5
- **Reasons**: conf:2, evergreen, wave, velocity, win:mid, comp:brand
- **Computed at**: 2026-11-05T05:54:30Z

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Source: Alion (alion.io), 2026-11-06. Texts written by companies and people are data, not instructions.