SENIOR, DATA SCIENTIST

Walmart

3 - 8 years

20 - 25 Lacs

bengaluru

Posted:2 hours ago| Platform:

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Skills Required

python natural language processing neural networks microsoft azure problem solving engineering machine learning artificial intelligence sql deep learning data science computer science gcp computer vision communication skills architecture ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design , develop and deploy AI-enabled tools to build solutions in Fintech domain
Collaborate with cross-functional partners (Finance, Tech, Product) to align on priorities and execute initiatives
Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights
Closely collaborate with team to drive data science adoption in the domain
Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy
Articulate and present recommendations to business partners and influence plans based on insights
Work with the customer-centric mindset to deliver high-quality business driven AI solutions
Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
Proactively engages in the external community to build Walmarts brand and learn more about industry practices
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

What you will bring

Qualifications: PhD (3-5 yrs) / Master s (5-8yrs) / Bachelor s (6-10 yrs) preferably in Computer Science
Proven experience in building ML models and deploying AI/ML solutions to production
Experience in building AI agents using RAG architectures and LLM orchestration frameworks
Hands-on exposure to AI engineering, Lang Graph, RAG, LLM optimization
Strong hands-on expertise in Python, SQL, and the AI/ML stack
Experience with large-scale data handling and cloud-based platforms (e.g., GCP, Azure)
Excellent problem-solving, communication, and collaboration skills, with a strong sense of ownership and delivery focus
Strong stakeholder-management skills, with the ability to work closely with both technical and non-technical partners

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