Machine Learning Engineer

2 weeks ago


New Delhi, India Grizmo Labs Full time

Hiring: Machine Learning Engineers (ML 2 / ML 3) – BangaloreAre you passionate about buildingcustomer-facing AI solutionsthat make a real impact?Do you thrive in fast-paced, product-driven environments where ownership and accountability are valued?We are looking forML Engineers (Level 2/3)to join our growing AI/ML team in Bangalore. This is an exciting opportunity to work onGenerative AI, personalization, and intelligent search systemsthat will directly shape the experience of millions of users.Key ResponsibilitiesAs a part of our ML team, you will: Design and implement scalable ML solutionsthat directly align with product and business goals. Develop, test, andoptimize ML models for production environmentswith high availability and low latency. BuildGenerative AI featuressuch as conversational interfaces, intelligent assistants, and personalized experiences. Partner with product managers, data scientists, and engineers tointegrate ML into customer-facing applications . Monitor and evaluate model performancepost-deployment; iterate to improve accuracy, latency, and UX. Drivebest practices in experimentation, reproducibility, and deployment workflows . Participate actively incode reviews, design discussions, and technical deep dives . Work closely with stakeholders totranslate business needs into ML-driven solutions .️ Required Skills & Experience4–8 yearsof applied machine learning experience with proven deployment track record. Hands-on experience withGenerative AI, NLP, conversational AI, or personalization systems . Proficiency inPythonand frameworks likePyTorch, TensorFlow, Hugging Face . Experience deploying ML models oncloud platforms (AWS / GCP / Azure) . Strong knowledge offeature engineering, ML pipelines, and MLOps practices . Ability to work cross-functionally andcommunicate complex ML concepts clearly . Demonstrated impact throughproduction-level ML solutions .⭐ Preferred QualificationsMaster’s degree inComputer Science, Machine Learning, or related field . Experience infintech / financial servicesdomains is a plus. Exposure torecommendation engines, ranking, or personalization techniques . Contributions toopen-source ML frameworksor active participation in ML/AI communities.



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