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3 - 5 years

4 - 10 Lacs

Posted:6 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

We're looking for an experienced AI/ML Engineer with a passion for personalization, recommendation systems, and NLP applications to help us build next-gen AI-driven features. If you've built recommendation engines or worked on e-commerce personalization, this is your chance to shape intelligent customer experiences.

Key Responsibilities:

  • Design and deploy AI-powered product recommendation systems and personalized feed algorithms
  • Build scalable models for influencer discovery and shoppable content logic
  • Work on NLP models for tasks such as:
  • Auto-tagging content
  • Chat summarization
  • Commerce-focused prompts
  • Integrate third-party LLMs (e.g., OpenAI, Cohere, Claude) and develop lightweight custom models tailored to business use cases
  • Collaborate with product, design, and engineering teams to embed machine learning into user-facing features

Requirements:

  • 3–5 years of hands-on experience in applied machine learning or data science
  • Proficiency in TensorFlow, PyTorch, or HuggingFace libraries
  • Strong experience in recommendation systems, ranking models, or personalization engines
  • Solid foundation in natural language processing (NLP) techniques
  • Familiarity with model deployment, APIs, and cloud-based ML environments (AWS/GCP/Azure)
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Preferred Qualifications:

  • Experience working on e-commerce platforms, search/recommendation engines, or similar consumer products
  • Understanding of user behavior modeling, collaborative filtering, or A/B testing frameworks
  • Exposure to prompt engineering or fine-tuning LLMs for business-specific tasks

Job Type: Full-time

Pay: ₹400,000.00 - ₹1,000,000.00 per year

Schedule:

  • Day shift

Work Location: In person

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