EarnIn

Fintech

MachineLearningEngineer

₹12–18L ~AI est. Bengaluru, Karnataka, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Machine Learning Engineer at EarnIn. Skills: Machine Learning, MLOps, Data Engineering. Design ML models. Build ML models”

What You'll Achieve.

Launch efficient models; Launch reliable models; Drive business impact

Industry & Context.

Fintech

What They're Looking For.

Must Have

Bachelor's, MS, or PhD in Computer Science, 0-1 year of experience in ML engineering, Programming skills in Python, Data engineering skills, In-depth knowledge of ML algorithms, Knowledge of architectural patterns for large, high-scale software applications, Oral and written communication skills

Nice to Have

Experience in NLP, Experience in CV

What You'll Do.

Train deep learning models

Validate deep learning models

Understand model 'why'

Develop data pipelines

Enable data pipelines

Drive engineering best practices

Implement automated testing

How You'll Work.

Team & Collaboration

Data platform teams

Communication Scope

Oral communication; Written communication

Full Job Description

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems’ health and scalability is critical. To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be based in Bengaluru, which is part of our expanding site location. WHAT YOU'll DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact. Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness Demonstrate an end-to-end understanding of applications and develop a deep understanding of the “why” behind our models and systems. Work closely with data platform teams to enable robust, scalable batch and real-time data pipeline.s Drive the team's high ML and engineering standards through lear

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