Machine Learning Engineer

2 - 7 years

4 - 9 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

We re looking for a Machine Learning Engineer passionate about deploying efficient AI models for real-world use.
Youll work on cutting-edge technologies in Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), and Text-to-Speech (TTS). Your mission will be to optimize and ship models that power seamless voice and language experiences on mobile and edge devices."}) , e.jsx(m , {sx:{my:3}}) , e.jsx(t , {variant:"h6" , gutterBottom:!0 , children:"Role Overview"}) , e.jsxs(x , {children:[e.jsx(h , {children:e.jsx(p , {primary:"Design , optimize, and deploy lightweight AI models for speech recognition, translation, and TTS."})}) , e.jsx(h , {children:e.jsx(p , {primary:"Work closely with cross-functional teams to build scalable AI systems."})})]}) , e.jsx(t , {variant:"h6" , gutterBottom:!0 , sx:{mt:2} , children:"Key Responsibilities"}) , e.jsxs(x , {children:[e.jsx(h , {children:e.jsx(p , {primary:"Develop ASR, NMT, and TTS models."})}) , e.jsx(h , {children:e.jsx(p , {primary:"Optimize models for Edge deployment (TensorFlow Lite, ONNX Runtime)."})}) , e.jsx(h , {children:e.jsx(p , {primary:"Benchmark , compress, and integrate models into mobile apps."})})]}) , e.jsx(t , {variant:"h6" , gutterBottom:!0 , sx:{mt:2} , children:"Requirements"}) , e.jsxs(x , {children:[e.jsx(h , {children:e.jsx(p , {primary:"Bachelors / Masters in CS, AI, or related fields."})}) , e.jsx(h , {children:e.jsx(p , {primary:"2+ years of ML experience in Speech / NLP."})}) , e.jsx(h , {children:e.jsx(p , {primary:"Proficiency in TensorFlow, PyTorch, ONNX."})})]}) , e.jsx(t , {variant:"h6" , gutterBottom:!0 , sx:{mt:2} , children:"Preferred Skills"}) , e.jsxs(x , {children:[e.jsx(h , {children:e.jsx(p , {primary:"Familiarity with Whisper, Vosk, MarianMT, Coqui TTS."})}) , e.jsx(h , {children:e.jsx(p , {primary:"Multilingual AI experience."})})]}) , e.jsx(t , {variant:"h6" , gutterBottom:!0 , sx:{mt:2} , children:"How to

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