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AIML Engineer Digital & AI

  • Source: Naukri
  • Iq-eq
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Introduction

We are seeking a passionate and results-driven AI/ML Engineer to design, develop, and deploy machine learning and Generative AI solutions that power next-generation products and services. In this role, you will collaborate with product, engineering, and data teams to build scalable AI systems, intelligent applications, and cloud-native solutions leveraging Machine Learning, Deep Learning, Generative AI, MLOps, and modern software engineering practices to drive innovation and business impact.

What You’ll Do

  • You’ll design, develop, train, optimize, and deploy machine learning and deep learning models, including predictive analytics, recommendation systems, classification models, NLP solutions, and model performance evaluation.
  • You’ll prepare and engineer structured and unstructured data, build scalable data pipelines, and collaborate with data engineering teams to ensure data quality, availability, and efficient training and inference workflows.
  • You’ll build and enhance Generative AI applications using LLMs, RAG architectures, prompt engineering, intelligent assistants, chatbots, and enterprise productivity solutions.
  • You’ll develop scalable backend services, APIs, and reusable AI components while integrating AI solutions with enterprise applications, external tools, and third-party platforms using software engineering best practices.
  • You’ll deploy, monitor, and maintain AI/ML solutions in cloud environments, implement CI/CD and MLOps practices, manage the model lifecycle, and partner with cross-functional stakeholders to design scalable, business-driven AI solutions.

What We Offer

  • Competitive Compensation: Annual package including base salary, allowances, and performance incentives.
  • Health & Insurance Coverage: Medical insurance, group term life insurance, and accident coverage.
  • Allowances & Support: Transportation allowance, internet allowance, and shift allowance.
  • Paid Time Off: Generous leave policy supporting work–life balance.
  • Career Growth: Exposure to cuttingedge AI/ML technologies and opportunities to work across Generative AI, MLOps, and cloudnative solutions.

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