Machine Learning Engineer

LodgIQ

  • Bengaluru, Karnataka, India
  • Full-time
  • First seen 4 Nov 2026

LodgIQ is hiring a Machine Learning Engineer in Bengaluru, Karnataka, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

  • Company: Hashone Careers
  • Website: Visit Website
  • Business Type: Startup
  • Company Type: Product
  • Funding Stage: Pre-seed
  • Industry: Hospitality
  • Salary Range: ₹ 10-50 Lacs PA
  • This is a permanent role with one of the product firm in Hospitality domain
  • A valued client of Hashone
  • You'll be responsible for building systems and frameworks that power our machine learning applications, working closely with team members to deploy and scale their solutions

What they are looking for

  • We’re looking for a Machine Learning Engineer to join the Data Science & Machine Learning team at LodgIQ
  • Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent experience)
  • 3+ years of experience in software engineering with a focus on ML systems
  • Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience building and maintaining production ML pipelines
  • Proficiency with containerization technologies (Docker, Kubernetes)
  • Experience with cloud platforms (AWS, GCP, or Azure) and their ML services
  • Understanding of software engineering best practices including version control, CI/CD, and testing

Pay and dates

The listing does not state pay. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “9 months ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Machine Learning Engineer at LodgIQ. We found this listing via linkedin.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.

This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.

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