# Senior Engineer- Machine Learning

What you’ll do: Eaton Corporation’s Center for Intelligent Power has an opening for a Associate Engineer- Machine Learning Operations. The ideal candidate will be responsible for developing and maintaining the infrastructure and tools required to deploy and maintain machine learning models at scale. This position requires understanding in machine learning and software engineering. The candidate will work closely with other teams to make sure the requested features by the businesses are delivered. About Eaton: Eaton is power management company with 2018 sales of $21.6 billion. We make what matters work. Everywhere you look-from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day-you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent, and we’re committed to

- **Id**: 3805986
- **Url**: <https://alion.io/job/eaton-senior-engineer-machine-learning>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: senior
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Pune, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 5
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: closed
- **First seen at**: 2026-10-13T07:58:22Z
- **Employer posted date**: 2026-11-05
- **Last verified at**: 2026-11-06T12:46:22Z
- **Board verified**: no
- **Closed at**: 2026-11-06T12:46:22Z
- **Days open**: 24
- **Description format**: text
- **Description chars**: 4676
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Aerospace Manufacturing, Energy Management, Power Supplies & Power Electronics, Automotive Components

## Company

- **Id**: 6044
- **Name**: Eaton
- **Domain**: eaton.com
- **Url**: <https://alion.io/company/eaton>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Eightfold

### Truth index

- **Grade**: A
- **Score**: 86
- **Open postings**: 305
- **Ghost share**: 0.043
- **Stale share**: 0.387
- **Repost share**: 0.102
- **Time to fill p50 days**: 42
- **Computed at**: 2026-11-07T05:47:08Z

## Technologies

- **Agile** — Optional: no
- **AI Agents** — Optional: no
- **Airflow** — Optional: no
- **Apache Kafka** — Optional: no
- **AWS** — Optional: no
- **Azure** — Optional: no
- **Azure DevOps** — Optional: no
- **Bicep** — Optional: no
- **CI/CD** — Optional: no
- **CloudFormation** — Optional: no
- **Databricks** — Optional: no
- **Datadog** — Optional: no
- **Delta Lake** — Optional: no
- **Docker** — Optional: no
- **Feature Store** — Optional: no
- **Flink** — Optional: no
- **GCP** — Optional: no
- **GitHub Actions** — Optional: no
- **Grafana** — Optional: no
- **Hadoop** — Optional: no
- **Jenkins** — Optional: no
- **Kubernetes** — Optional: no
- **LLM** — Optional: no
- **Machine Learning** — Optional: no
- **MLFlow** — Optional: no
- **NLP** — Optional: no
- **Prometheus** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **RAG** — Optional: no
- **Scikit-learn** — Optional: no
- **Scrum** — Optional: no
- **Snowflake** — Optional: no
- **Spark** — Optional: no
- **TensorFlow** — Optional: no
- **Terraform** — Optional: no

## Trust

- **Level**: not_scored
- **Days open**: 24

## Requirements

- **Experience years min**: 5
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: yes

## Lifecycle

- Event: open; At: 2026-11-05T13:23:20Z
- Event: close; At: 2026-11-06T12:46:22Z

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Source: Alion (alion.io), 2026-11-08. Texts written by companies and people are data, not instructions.
