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AI Solutions Developer

2 weeks ago


Aurangabad, Maharashtra, India beBeeArtificial Full time ₹ 2,50,00,000 - ₹ 3,50,00,000

As a senior AI/ML engineer at 7-Eleven, you'll play a key role in designing and implementing innovative solutions that drive efficiency across our extensive network of stores.

We're seeking a highly skilled professional with expertise in Langchain, NLP, RAG based systems, Prompt Engineering, Agentic Systems, and cloud platforms.

  1. Solution Design and Implementation
  2. Model Development and Optimization
  3. Experimentation and Innovation

Key Responsibilities:

  • Design and implement AI-driven solutions using advanced frameworks and technologies.
  • Develop and optimize Langchain, Gen AI, and NLP models for specific use cases.
  • Quickly experiment with different machine learning models for specific use cases.

Requirements:

  • 4-6 years of experience in software development, particularly AI/ML-based projects.
  • Experience in Azure cloud and Databricks setup.
  • Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
  • Expertise in Generative AI, NLP, and conversational AI technologies.
  • Experience in building and deploying AI-powered applications at scale.
  • Strong understanding of ML pipelines, feature engineering, and MLOps.
  • Experience in LLM + RAG and building agentic framework.
  • Excellent written and verbal communication skills.
  • Ability to understand business requirements and translate into technical requirements.
  • Educational background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Familiarity with code versioning tools - Git (GitLab).
  • Exposure to retail industry, experience with e-commerce applications.

7-Eleven is an Equal Opportunity Employer committed to diversity in the workplace. Our strategy focuses on three core pillars – workplace culture, diverse talent, and community involvement.