AI and ML Developer -Hyderabad -Hybrid -Saturday 6th Sept -F2F

6 - 10 years

12 - 22 Lacs

Posted:18 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Dear Candidates

We are conducting F2F Interview on Saturday for Hyderabad for one of the Reputed MNC :-

If Interested Kindly drop your CV to kanishk.mittal@thehrsolutions.in

AIML Engineer / AIML Developer - Hyderabad -- Reputed MNC

Job Description

Key Responsibilities:

  • Design, develop, and maintain scalable, efficient, and reliable systems to support

    GenAI

    and machine learning

    -based applications and use cases
  • Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance
  • Collaborate with other stakeholders to integrate AI and ML models into production-ready systems
  • Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems
  • Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines

Hard Requirements:

  • Senior backend engineer with a proven track record of owning the backend portion of projects
  • Experience collaborating with product, project, and domain team members
  • Strong understanding of data pipelines, architectures, and tools
  • Proficiency in Python (ability to read, write and debug Python code with minimal guidance)

Mandatory Skills:

  • Machine Learning: experience with machine learning frameworks, such as

    scikit-learn, TensorFlow, or PyTorch

  • Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask
  • Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling
  • Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch
  • Data Science: experience working with data science tools

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