Machine Learning Engineer II

.What’s the InMobi family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What do we promise?

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

About 1Weather:

In a crowded digital weather market where most apps focus solely on providing weather forecasts, 1Weather sets itself apart by creating a personalized experience for its users. It offers more than just simple forecasts; the app provides real-time recommendations and prompts that help users stay informed and prepared, allowing them to take control of their daily routines and own the day.

With a wide range of features such as 7-day forecasts, live radar, severe weather alerts, AQI, Twitter buzz, and global trends, 1Weather is the go-to app for millions who seek reliable and accurate weather information. This is evidenced by the app's impressive 4.4 user rating and over 100 million downloads on the Play Store.

What You Will Be Doing?

• Develop and deploy machine learning models with a focus on quick, reliable experimentation to validate features and hypotheses. Our team values speed and quality in experimentation.

• Assist in building and maintaining machine learning pipelines, aiding in tasks such as data preparation, model training, and evaluation.

• Collaborate closely with Designers, UX Researchers, Product Managers, and Software Engineers to contribute to the integration of machine learning solutions .

• Monitor the health and performance of machine learning models, using statistical methods to ensure their effectiveness.

• Conduct preliminary research and development in machine learning techniques to enhance product capabilities.

Basic Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related technical field with 4+ years of relevant industry experience OR

• Master's degree in a related technical field with 3+ year of relevant industry experience.

• Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Basic understanding of statistics as applied to machine learning, including probability theory and hypothesis testing.

• Demonstrable ability to contribute to machine learning projects, either in a work setting or via academic coursework.

Preferred Qualifications

• Strong focus on quick, trustworthy experimentation to validate machine learning models and hypotheses.

• Significant Plus: Hands-on experience or strong theoretical understanding of GenAI and Recommender Systems is highly valued by our team.

• Basic understanding of data management and storage solutions like SQL and NoSQL databases is a plus.

• Excellent communication skills, with the ability to convey technical concepts effectively to a non-technical audience.