Artificial Intelligence Engineer

4 - 9 years

8 - 14 Lacs

bengaluru mumbai (all areas)

Posted:4 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key responsibilities

  • Collaborate with cross-functional teams and stakeholders to understand business requirements and align AI solutions with objectives.
  • Design, develop, and deploy machine learning models and algorithms, including LLM-based solutions and fine-tuning.
  • Conduct data analysis and preprocessing to ensure high-quality input for AI models.
  • Evaluate and optimize AI system performance, including monitoring for model drift.
  • Stay updated on emerging AI technologies and assess their potential business applications.
  • Communicate findings and insights to stakeholders effectively.
  • Develop and optimize RAG architecture using Vector DB or Knowledge Graph.
  • Engineer robust ML pipelines and infrastructure using on-premises/cloud tools.
  • Establish CI/CD practices and automated testing frameworks for AI systems.


  • Qualifications

  • Education:

    Graduate B.E/B.Tech - IT/CS with above 50% aggregate in SSC, HSC & Degree


Requirements

  • Technical Skills:

    • Proven experience with LLMs, including fine-tuning and deployment
    • Advanced knowledge of RAG architecture and implementation
    • Proficiency in semantic search and vector databases
    • Strong background in MLOps and model monitoring
    • Experience with distributed computing and GPU optimization
  • Programming:

    • Proficiency in programming languages such as Python, R, or Java, and familiarity with AI libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn
    • Experience with graph databases and vector stores
    • Knowledge of SQL and NoSQL databases
  • Cloud & Tools:

    • Experience in building AI systems on Azure/ AWS/ GCP
  • An AI professional who initiated their career directly in artificial intelligence and has accumulated 3-4 years of dedicated experience in AI technologies (not transitioning from other technical backgrounds)

Soft Skills:

  • Strong analytical and problem-solving abilities
  • Excellent communication and documentation skills
  • Team leadership and mentoring capabilities

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