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Lead AI Engineer (6 - 9yrs)

jobPosting

India · On-site Full-time Lead ₹2050k – ₹2500k/yr Yesterday

About the role

Company

Powered by Monster (On behalf of Quarks Technosoft)

Job Title

Lead AI Engineer

Sector

Other Service Activities

Functional Area

Human Resources

Functional Role

Fresher

Responsibilities

  • Design, develop, and implement AI/ML models for retail use cases such as dynamic pricing, inventory management, personalized recommendations, and routing optimization.
  • Build scalable AI pipelines and integrate models into production systems using cloud and edge technologies.
  • Collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into technical solutions.
  • Work on computer vision (e.g., shelf analytics, visual search) and NLP (e.g., chatbots, sentiment analysis) projects relevant to retail.
  • Optimize model performance, ensuring robustness, scalability, and maintainability.
  • Conduct research to stay updated on latest AI trends, frameworks, and tools applicable to retail, ensuring ethical AI practices and data privacy compliance.

Additional Information

  • Total Experience (in years): 6 - 9
  • Job Location: GanganagarUttar Pradesh
  • Key Skills: PyTorch), LLM & GenAI Models, Machine Learning/Deep Learning (TensorFlow)
  • Nature of job: Full Time
  • Salary (₹): 2050000 - 2500000
  • Gender Preferences: Any Ex-Servicemen preferred No
  • Number of Openings: 1 or more

Responsibilities

  • Design, develop, and implement AI/ML models for retail use cases such as dynamic pricing, inventory management, personalized recommendations, and routing optimization.
  • Build scalable AI pipelines and integrate models into production systems using cloud and edge technologies.
  • Collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into technical solutions.
  • Work on computer vision (e.g., shelf analytics, visual search) and NLP (e.g., chatbots, sentiment analysis) projects relevant to retail.
  • Optimize model performance, ensuring robustness, scalability, and maintainability.
  • Conduct research to stay updated on latest AI trends, frameworks, and tools applicable to retail, ensuring ethical AI practices and data privacy compliance.

Skills

GenAI ModelsLLMMachine LearningPyTorchTensorFlow

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