Hiring : Machine Learning Engineers (ML 2 / ML 3) – Bangalore
Are you passionate about building customer-facing AI solutions that make a real impact?
Do you thrive in fast-paced, product-driven environments where ownership and accountability are valued?
We are looking for ML Engineers (Level 2 / 3) to join our growing AI / ML team in Bangalore. This is an exciting opportunity to work on Generative AI, personalization, and intelligent search systems that will directly shape the experience of millions of users.
🔑 Key Responsibilities
As a part of our ML team, you will :
- Design and implement scalable ML solutions that directly align with product and business goals.
- Develop, test, and optimize ML models for production environments with high availability and low latency.
- Build Generative AI features such as conversational interfaces, intelligent assistants, and personalized experiences.
- Partner with product managers, data scientists, and engineers to integrate ML into customer-facing applications .
- Monitor and evaluate model performance post-deployment; iterate to improve accuracy, latency, and UX.
- Drive best practices in experimentation, reproducibility, and deployment workflows .
- Participate actively in code reviews, design discussions, and technical deep dives .
- Work closely with stakeholders to translate business needs into ML-driven solutions .
🛠️ Required Skills & Experience
4–8 years of applied machine learning experience with proven deployment track record.Hands-on experience with Generative AI, NLP, conversational AI, or personalization systems .Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face .Experience deploying ML models on cloud platforms (AWS / GCP / Azure) .Strong knowledge of feature engineering, ML pipelines, and MLOps practices .Ability to work cross-functionally and communicate complex ML concepts clearly .Demonstrated impact through production-level ML solutions .⭐ Preferred Qualifications
Master’s degree in Computer Science, Machine Learning, or related field .Experience in fintech / financial services domains is a plus.Exposure to recommendation engines, ranking, or personalization techniques .Contributions to open-source ML frameworks or active participation in ML / AI communities.