Iron Mountain Hiring Senior Software Engineer | Apply Now

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Iron Mountain Careers: In 2024, Iron Mountain, a reputable corporation, will have an Off Campus Drive wherein freshmen will have the chance to apply for positions as Iron Mountain Senior Software Engineers for the Bangalore Office. A bachelor’s degree holder in any field is eligible to apply for the Iron Mountain off-campus drive in 2024. Candidates who meet the requirements can review further information below.

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About Iron Mountain

Founded in 1951, Iron Mountain Inc. is a Boston, Massachusetts-based provider of enterprise information management services. More than 220,000 clients in 58 countries across North America, Europe, Latin America, Africa, Asia, and Australia rely on its records management, information destruction, and data backup and recovery services. In some way, more than 94% of Fortune 1000 businesses used Iron Mountain’s services as of 2020 to store and manage their data.

Iron Mountain Hiring Senior Software Engineer Details

Job Role: Senior Software Engineer

Company Website: www.ironmountain.com

Qualification: Bachelor’s or Master’s degree

Batch: 2024 and before

Experience: Freshers/Experience

Salary: up to ₹6 LPA*

Job Location: Bangalore

Last Date: ASAP

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Roles & Responsibilities

  • Send the invoices to the relevant site by the tenth business day of the month.
  • Recognise the consequences for your business if bills are not submitted by the deadline.
  • Investigating, examining, and evaluating unsubmitted invoices; closely collaborating with account managers to ensure timely submission of invoices
  • Updating the logs and daily tracker in a timely manner.

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Required Skills & Qualifications

  • 0–4 years of expertise as a data scientist or machine learning engineer. It is advised that 0–2 years of experience be considered junior, and 3–4 years to be intermediate. But the level will be decided by the interview performance, which is not restricted by years of employment.)
  • Robust DL in situations such as text, audio, and image categorization.
  • Strong knowledge of entity extraction in NLP (LLM). Experience with both multilingual and multimodal language learning is highly valued.
  • Practical knowledge of GenAI (LLM) and rapid engineering expertise.
  • Knowledge of the machine learning pipeline and practical expertise with the mlflow or Kubeflow frameworks. While completely optional, this is really desirable.
  • Strong Python programming skills are required.
  • Expertise in using accelerators to train models.
  • It is preferable to have knowledge about and/or practical expertise with performance tuning, such as LORA, etc.

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