ML Engineer II

Job Description

Role: ML Engineer II

Location: Bengaluru

What you’ll do

We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better.

As a Machine Learning Engineer II in our data science department, you’ll have the chance to:

Role Description: - A cross functional expert who bridges Data Science and Software Engineering skillsets to build scalable, production-ready AI solutions. Builds re-usable feature tables, ETL pipelines, and optimizes model training and inferencing for performance. Builds monitoring systems to enable rigorous tracking of ML powered solutions in production.

• By reducing model training and deployment time, improve the time to market for key business solutions.
• Develop re-usable components that accelerate rapid prototyping and deployment of solutions.
• Develop monitoring systems that track the performance and reliability of ML driven solutions.
• Help socialize MLOps capabilities across the organization by establishing best practices and standards.

Who are your stakeholders?

ML Engineer’s internal customers / stakeholders include:

Data Science, Product, and Engineering Stakeholders: You will work closely with the Data Science, Product, and Engineering stakeholders to build reliable, scalable and optimized ML pipelines, ensuring seamless deployment, monitoring performance of ML solutions, and maintainability standards.

Programmatic Traders, Analysts, Sales teams, Account Managers: ML solutions in production will be consumed as insights, recommendations, and campaign optimizations by personas that plan and manage programmatic campaigns and insights.

What you’ll bring

• 2 - 4 years of hands-on experience deploying and monitoring Machine Learning Models in production, Databricks preferred.
• Strong proficiency in Python and familiarity with distributed data processing frameworks like PySpark.
• Experience with building scalable ETL pipelines for efficient storage, data processing and retrieval of features to support ML model development.
• Experience building and deploying pipelines in production, end to end model training, inferencing and retraining pipelines.
• Experience with data and model monitoring to ensure consistency and reliability of solutions in production.
• Experience with performance, latency and cost optimization approaches.
• Familiarity with standard best practices like version control and CI / CD for code management, unit testing and quality code standards.
• Experience working in cross functional teams, consisting of Data Scientists, Data Engineers and Product Managers to deliver quality solutions that meet business goals.
• Passion for self-driven learning and an eagerness to keep up with continuously evolving MLOps / LLMOps technologies and best practices.
• [Bonus] Grasp on the basics of Machine Learning, Statistics and Probability.
• [Bonus] Hands on experience with distributed data processing frameworks like Ray.
• [Bonus] Hands on experience with designing and maintaining Feature Stores.
• [Bonus] Exposure to AWS and GCP.

We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that’s a fit for this role, or another opportunity at MiQ.

If you have a passion for the role, please still apply.

What impact will you create?

In this role, you’ll be embedded inside a vibrant team of data scientists. You would be responsible for continuous evolution & maintenance of MiQ's

AI/ML development ecosystem through focus on - operationalizing MLOps practice, tech stack audit & improvements, institutionalizing best practices around ML system design & development, measurement & socialization of business impact created as a result of tech investments.

What’s in it for you?

Our Center of Excellence is the very heart of MiQ, and it’s where the magic happens. It means everything you do and everything you create will have a huge impact across our entire global business.

MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we’re always moving towards becoming an even better place to work.

Values

Our values are so much more than statements. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.

• We do what we love - Passion
• We figure it out - Determination
• We anticipate the unexpected - Agility
• We always unite - Unite
• We dare to be unconventional - Courage

Benefits

Every region and office has specific perks and benefits, but every person joining MiQ can expect:

• A hybrid work environment
• New hire orientation with job specific onboarding and training
• Internal and global mobility opportunities
• Competitive healthcare benefits
• Bonus and performance incentives
• Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.
• Employee resource groups are designed to connect people across all MiQ regions, drive action, and support our communities.

Apply today!

Equal Opportunity Employe