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Lowes biggest hiring 2025 for Associate AI Engineer . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in , India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below.
About Company :
Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability.
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Job Description :
An AI engineer designs, builds, and deploys artificial intelligence systems that automate tasks, generate insights, or enhance user experiences. They apply machine learning models, optimise performance, and integrate AI into business processes.
Roles & Responsibilities
- Assists in the development and maintenance of an AI platform, ensuring the platform meets functional requirements and performance criteria.
- Participates in the lifecycle of AI platform development, including ideation, prototyping, testing, deployment, and monitoring.
- Aids in the integration of AI capabilities into various products and platforms, ensuring smooth transitions and functionality.
- Participates in peer code reviews, learning from senior AI engineers, and adheres to established best practices in AI development.
- Stays updated with the latest technologies and frameworks in AI, suggesting minor improvements and updates to existing systems.
- Assists in implementing security and compliance measures within the AI development process, ensuring alignment with company policies and industry regulation
Years of Experience:
- 0-2 Years of experience
Required Minimum Qualifications:
- Bachelor’s degree in science, technology, engineering, math, or relevant field
Required Skills (Technical Competency):
- Experience executing and deploying data science, ML, and DL models
- Programming language experience
- Experience in MLOps tools
- Experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI
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