InMobi
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Bengaluru · On-site · 3-6 Yrs · 4 days ago
Internet & Web Services · 1001 to 5000 Employees · Bengaluru, India
InMobi is the world's leading Marketing Cloud, driving real connections between brands and consumers. We create new paths for brands to understand, identify, engage and acquire consumers by leveraging our exclusive access to mobile intelligence and technology platforms. As a leading technology company founded in 2007, InMobi has been recognized as a 2019 CNBC Disruptor 50 company and as Fast Company's 2018 Most Innovative Companies. For more information, visit inmobi.com. Driving Real Connections. InMobi helps brands connect with consumers in ways that matter.
What employees say
+ Working here has genuinely been a great experience. It's a place that gives you a lot of freedom to explore ideas, take ownership, and grow. One of my favorite parts is the culture
− Work can be demanding during peak periods, but the challenging projects and supportive teammates make it a rewarding experience.
More reviews on the company profile.
Interview experience · Overall A Good Experience
good, Dp was asked in both interview ,In R1 , it was grid Dp with weighted thing in R2 they asked similar to Russian Doll in leetcode, they asked probability, do expected value also. Interviewer were nice, so overall exp
Average difficulty · Kharagpur, West Bengal · 173 reports
More interview insightsJob description
Overview
As an ML Engineer II, you will contribute to building and scaling InMobi's ML platform by developing reliable ML pipelines, training workflows, and serving systems.
Responsibilities
- Build and enhance components of a self-serve ML platform supporting training, evaluation, and inference workflows.
- Develop and deploy ML models using PyTorch, TensorFlow, or LightGBM, supporting the end-to-end ML lifecycle from experimentation to production.
- Build and operate scalable, low-latency models serving pipelines using Triton, TorchServe, or TensorFlow Serving.
- Implement MLOps workflows using MLflow for experiment tracking and Airflow (or similar) for orchestration.
- Work with Kubernetes-based ML workloads, including resource configuration, autoscaling, and reliability improvements.
- Add observability (metrics, logs, dashboards) to monitor training and inference systems and improve service stability.
Qualifications
- 3-9 years of experience building and deploying production ML systems.
- Strong Python programming.
- Hands-on experience with PyTorch / TensorFlow.
- Familiarity with ML training, evaluation, and inference workflows.
- Basic experience with distributed systems or ML workloads.
- Exposure to Kubernetes and cloud platforms (GCP preferred).
- Understanding of feature engineering and model monitoring concepts.
- Knowledge of feature stores and online/offline pipelines.
- Familiarity with observability tools (Prometheus, Grafana).
- Exposure to Kafka, Spark, or Flink.
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Job application FAQ
Last updated 1 October 2026
- How do I apply for Machine Learning II / III at InMobi?
- 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. InMobi may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning II / III 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 II / III 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 II / III role at InMobi?
- 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.