ML Engineer II
MiQ Digital23 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Build reusable feature tables and scalable ETL pipelines for ML feature storage, processing, and retrieval.
- Develop and maintain production pipelines for model training, inference, deployment, and retraining.
- Create monitoring systems for the performance, consistency, reliability, and maintainability of ML solutions.
- Optimize ML systems for training and inference performance, latency, cost, and deployment speed.
- Develop reusable components that accelerate prototyping and production deployment.
- Establish and socialize MLOps best practices, standards, and ML system design practices across the organization.
- Collaborate with Data Science, Data Engineering, Product, Engineering, traders, analysts, sales teams, and account managers.
Requirements
- 2–4 years of hands-on experience deploying and monitoring machine learning models in production.
- Strong proficiency in Python and familiarity with distributed data processing frameworks such as PySpark.
- Experience building scalable ETL pipelines and production ML pipelines covering training, inference, and retraining.
- Experience with data and model monitoring for production consistency and reliability.
- Experience optimizing performance, latency, and cost.
- Familiarity with version control, CI/CD, unit testing, and code quality practices.
- Experience working cross-functionally with Data Scientists, Data Engineers, and Product Managers.
- Databricks experience is preferred.
- Basic knowledge of machine learning, statistics, and probability is a bonus.
- Ray experience, feature store design and maintenance, and AWS or GCP exposure are bonuses.
- Eagerness to learn evolving MLOps and LLMOps technologies and best practices.
Benefits
- Hybrid work environment in Bengaluru.
- New-hire orientation with role-specific onboarding and training.
- Internal and global mobility opportunities.
- Competitive healthcare benefits.
- Bonus and performance incentives.
- Generous annual PTO, paid parental leave, and two additional paid days for holidays, cultural events, or inclusion initiatives.
- Employee resource groups supporting connection, action, and community across MiQ regions.
Tech Stack
Categories
Data EngineeringML Engineering
About MiQ Digital
MiQ Digital provides programmatic media and analytics services for brands and advertising agencies, using an agnostic approach across major buying platforms and channels including CTV and digital. It sells managed-service campaign planning, activation, and measurement, plus data science and media analytics, typically priced on media spend and service fees. Founded in 2010 and headquartered in London, it operates globally as a privately held company.