Senior ML Engineer
At a glance
Senior Machine Learning Engineering role at K MART Australia. Bangalore.
Pay not stated ML Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Shape and deliver Chanakya platform enhancements independently, from identifying improvements through implementation
- Connect large language models with vector stores and embedding models in generative AI work
- Build software in Python, Java or Scala, applying object-oriented design and data structures
- Contribute to sprint-based delivery and use JIRA to support Agile work
What you bring
- At least five years of hands-on work in MLE, MLOps, DevOps or another listed engineering or data role
- Experience with LLMOps and generative AI, including LLM connections, vector databases and embedding models
- Strong programming ability in Python, Java or Scala, with object-oriented development and data structures and algorithms
- Background contributing to scrum teams and using Agile tools such as JIRA
Who this fits
This senior role suits an experienced engineer or data scientist who can improve Chanakya without guidance. It is based in Bangalore, India.
From the employer
Anko is the global capability centre for Kmart Group Australia, fuelling growth aspirations of iconic Australian retail brands Kmart, Target and Anko. Based in Bangalore, India, we strive to accelerate retail innovation by building competitive capabilities in Technology, Data Sciences and Business Services that enable our brands to deliver delightful experiences to our in-store and online customers
- 5+ years of hands-on experience working as an MLE/MLOps/DevOps/Data Engineer/Data Scientist Experience with LLMOps and Generative AI, including LLM integration, vector databases, and embedding models.
Strong OOPS and programming development experience in Python/Java/Scala and strong concepts in Data Structures & Algorithms - Experience working in scrum teams with Agile tools like JIRA
- Ability to recommend & build enhancements to Chanakya (our Machine Learning Platform) with no guidance
We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.