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Salary
≈ $39k – $100k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 10+ years exp

First seen by Alion on Aug 25, 2026.

Overview
Company
Impact
Profile match
What we do Industries Platforms Career About Us Contact Us About Us With over 15 years of delivering excellence, we are a trusted global talent and workforce solutions partner with a strong presence across the USA, India, UAE, and the Netherlands.

Role Overview :

The Senior AI/ML Engineer will join a vibrant team of Data Scientists and ML Engineers working within the Data Science and ML Capability Center (CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Senior AI/ML Engineer will be responsible for initiating, developing and deploying data science solutions/products in an agile fashion to meet demand across multiple business lines. They will also be accountable for adhering to quality standards for producing digital solutions.

Key Characteristics :

- Work within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies.

- Build core infrastructure around feature engineering, model training, model deployment, and ongoing monitoring tools.

- Build and automate AI/ML workstreams from data analysis, experimentation, operationalization, model training, model tuning to visualization.

- Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying models and data pipelines into production.

- Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures.

- Keep abreast of new engineering practices, technologies and continuously improving our Agile practices.

- Contribute to community building initiatives like CoE, CoP.

Mandatory Skills :

- E2E Solution design / delivery of ML app (Master)

- Cloud deployment (Master)

- Experienced in MLOps, Auto ML, distributed computing (Master)

- Data Engineering (Master)

- Data Science and Machine Learning methods (Skill)

- Enterprise compliance (Skill)

- Azure, AWS, Python, JS, Kubernetes, Kubeflow (Skill)

Skills

Machine Learning, Azure, AWS, Python, MLOps, Data Engineering, Cloud Architect - AI/ML

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