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Walmart
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SENIOR, SOFTWARE ENGINEER / Senior ML Engineer

SENIOR, SOFTWARE ENGINEER / Senior ML Engineer

Walmart

6 - 11 years

40 - 45 Lacs

bengaluru

Posted:6 days ago| Platform:

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Skills Required

software design architecture networking machine learning system design application development open source information technology distribution system python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design and implement Generative AI solutions utilizing RAG for summarization, and knowledge retrieval.
Build and integrate LLM-based agents that utilize vector search technologies to provide dynamic, real-time responses.
Fine-tune and optimize models for specific business needs and tasks.

System Design & Scalability:

Contribute to building scalable, distributed systems that integrate machine learning pipelines.
Translate high-level designs into detailed solutions, including mock-ups, pseudo-code, and modular components.
Design and implement MVPs to validate and refine AI-driven features.

Collaboration & Integration:

Support architectural decisions to ensure alignment with both functional and non-functional requirements.
Participate in code reviews and ensure adherence to best practices.

Leadership & Mentorship:

Drive technical direction for large-scale AI initiatives and mentor junior engineers.
Establish best practices for building and maintaining AI-driven systems.

What You Will Bring

6+ years of experience in machine learning engineering, with a 2+ years focus on Generative AI and NLP.
Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and NLP libraries like Hugging Face Transformers.
Hands-on experience with RAG frameworks, vector search tools and knowledge grounding techniques.
Familiarity with distributed systems, scalable architectures, and cloud platforms (GCP, Azure).
Strong understanding of software design patterns, disaster recovery strategies, and non-functional requirements.

Preferred Qualifications:

Experience with multi-modal models and advanced optimization techniques.
Experience with Generative AI models (e.g., GPT, Gemini) and their fine-tuning.
Contributions to open-source projects or AI research publications.
Strong problem-solving and debugging skills in distributed environments.

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