SDE IV (ML Engineering) at InMobi — Lucknow, IND | Base Career

InMobi Advertising is a global technology leader helping marketers win the moments that matter.

Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles.

Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge.

By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.

Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping.

Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery.

Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences.

With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.

Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact.

Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.

At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide.

To learn more, visit www.inmobi.com

Architect a self-serve Data "Platform-as-a-Product" powering InMobi's global-scale data ecosystem.

Integrate OSS tools, proprietary services, and Cloud/SaaS into unified infrastructure.

Requires deep data engineering

expertise (batch/streaming pipelines, data modeling, query optimization, governance) combined with platform engineering to build production-grade solutions for data engineers and analysts.

Design & Development - Bridge OSS tools (Spark, Flink, Airflow, Iceberg), internal services, and cloud offerings into cohesive data platform infrastructure.

Build intuitive platform integrations enabling push-button data workflows.

Scale Engineering - Operate distributed systems processing petabytes of data daily.

Own multi-region Kubernetes infrastructure with elastic scalability and fault tolerance.

Performance Optimization - Optimize compute utilization (Spark/Flink clusters, Velox/Gluten acceleration) for large-scale batch and real-time streaming with sub-second latency.

Observability & Data Quality - Build comprehensive telemetry (metrics, logs,traces) and data quality frameworks for 24/7 uptime.

Enforce SLAs/SLOs with automated incident response and data validation.

7–10 years building, optimizing, and operating production data platforms
Deep data engineering fundamentals: data modeling, partitioning strategies, query optimization
Distributed compute: Spark (PySpark/Scala), Flink streaming, performance tuning at petabyte scale
Data lake architecture: Iceberg table format, Polaris catalog, schema evolution, time travel
Orchestration: Airflow DAG development, dependency management, SLA monitoring
Data transformation: DBT modeling, testing, documentation, incremental builds
Data quality: Great Expectations, dqueue validation frameworks, drift detection
Query acceleration: Velox, Gluten integration, columnar formats (Parquet, ORC)
Data governance: OpenMetadata catalog, lineage tracking, access control
Kubernetes platform development: operators (Spark/Flink), Yunikorn scheduler, multi-tenancy, autoscaling
Cloud infrastructure: GKE multi-region clusters, GCS object storage, hybrid cloud/on-prem architecture
Programming: Python, PySpark, Scala for data pipelines and platform tooling
IaC: Terraform, Helm, GitOps for reproducible deployments
CI/CD: Automated testing, deployment pipelines for data platform components

Experience building cloud data platform / control plane development
Advanced observability: Prometheus/Grafana, Loki, Firehydrant integration
Real-time streaming: Kafka integration, exactly-once semantics, backpressure handling
Cost optimization: Resource allocation, query optimization, storage tiering strategies

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth.

Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

SDE IV (ML Engineering)

Job Fit Check

Key Skills for This Role

Full Job Posting

Mission

Apply for this job in 1 click

More jobs at InMobi

Staff Engineer I

Account Manager - Microsoft Advertising

Applied Scientist III

Lead - Integrated Marketing (APAC)

Applied Scientist - User Intelligence

Machine Learning Engineer - Ad Sciences

Associate Product Manager - MSD Financial Systems and Transformation

Lead - Account Management - Microsoft Ads

Staff Engineer I

Account Manager - Microsoft Advertising

Applied Scientist III

Lead - Integrated Marketing (APAC)

Applied Scientist - User Intelligence

Machine Learning Engineer - Ad Sciences

Associate Product Manager - MSD Financial Systems and Transformation

Lead - Account Management - Microsoft Ads

Core Responsibilities

Required Skills & Experience ( Must-Have)

Good-To-Have

The Inmobi Culture

About InMobi

Autofill Plugin