Confidential
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Bengaluru · On-site · 6 days ago
Unknown · Sydney, Australia
Hiring: Engineering
What employees say
+ Great opportunities and best team to work with
− Work life balance was a concern at some time
More reviews on the company profile.
Interview experience · Software Engineer
3 rounds 1 intro , projects : 30 mins deep dive into projects , background etc 2DSA : one hour discusssion on 2 dsa problems and sql query 3 company fit round
Average difficulty · Indore · 56 reports
More interview insightsJob description
Overview
Location -Bellandur bangalore/Chennai
Responsibilities
- Monday - WFH and rest 4 Days - work from office
- MLOps, CI/CD, GIT hub, Python, Ansible, Azure DevOps.
Qualifications
- Proven experience delivering and supporting production scale ML systems
- Hands on exposure to computer vision and/or cognitive services within production AI solutions
- Ability to assess and apply machine learning techniques to solve real business problems
- Experience integrating ML models on unstructured data as part of enterprise AI workflows
- Design, implement, and maintain end to end MLOps frameworks covering:
- Implement and operationalize MLflow or equivalent frameworks for experiment tracking and lifecycle management
- Build custom APIs for ML model training and inference, supporting both batch and real time workloads
- Develop cloud first solutions using Microsoft Azure, including:
- Hands on experience building and deploying ML pipelines using Azure Machine Learning SDK
- Design and manage containerized ML workloads using:
- Orchestrate large scale ML/DL workloads, including distributed training and massively parallel model execution on cloud infrastructure
- Proficient in orchestrating large scale ML and DL jobs using big data tooling and modern container orchestration platforms
- Experience with model optimization and hyperparameter tuning at scale for ML/DL models
- Working knowledge of mathematics and algorithms, including:
- Strong understanding of data engineering tools and patterns, including:
- Ability to engage effectively with technical experts and stakeholders at all organizational levels
- Strong capability to identify opportunities where ML and analytics can:
- Excellent written and verbal communication skills, with the ability to convey complex technical concepts clearly and concisely
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Job application FAQ
Last updated 9 October 2026
- How do I apply for Machine Learning Operation at Confidential?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Confidential may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Operation role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Operation remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Operation role at Confidential?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.