Machine Learning Engineer (Bengaluru)

Machine Learning Engineer (Bengaluru)

13 Aug
|
Weekday (YC W21)
|
Bengaluru

13 Aug

Weekday (YC W21)

Bengaluru

This role is for one of our clients
Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 5+ years

Location: Bengaluru

JobType: full time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for a
Machine Learning Engineer
to build and operate the production infrastructure that transforms machine learning research into scalable, reliable, and low-latency AI services. You will partner closely with Applied Science, Product, and Platform Engineering teams to operationalize machine learning models, LLM-powered applications, and agentic workflows that power real-world enterprise products.





This role focuses on building production-ready ML systems, developing MLOps infrastructure, and ensuring AI services are secure, observable, cost-efficient, and highly available. You'll play a key role in enabling both traditional machine learning models and modern generative AI applications to move seamlessly from experimentation into production.

Requirements
Key Responsibilities
Production Machine Learning Systems
- Convert prototype machine learning models into production-grade, scalable services with well-defined API interfaces
- Deploy and optimize models across various domains including predictive analytics, recommendation systems, forecasting, NLP, and generative AI
- Refactor, containerize, version, deploy, and continuously monitor machine learning models for production readiness
- Collaborate with Applied Science teams to improve model performance, scalability, and operational efficiency

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📌 Machine Learning Engineer (Bengaluru)
🏢 Weekday (YC W21)
📍 Bengaluru

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