Machine Learning Engineer

Job DescriptionWe are seeking a skilled Machine Learning Engineer | Bangalore having 4+ yrs with strong experience in designing and developing scalable enterprise applications.About UsCodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.Must-Have Skills4-8 years of experience in Machine Learning or Deep Learning.Strong programming skills in Python.Hands-on experience with PyTorch.Practical experience with Large Language Models (LLMs) and Generative AI.Experience building Speech AI solutions (ASR/STT, TTS, Voice AI).Strong understanding of Natural Language Processing (NLP).Experience designing and implementing Retrieval-Augmented Generation (RAG) systems.Knowledge of transformer architectures and model fine-tuning techniques.Experience with REST APIs and model deployment.Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models for speech and NLP applications.Build and deploy LLM-powered applications, including chatbots, virtual assistants, and AI copilots.Develop Speech AI solutions such as Automatic Speech Recognition (ASR/STT), Text-to-Speech (TTS), and voice-enabled AI systems.Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.Fine-tune and evaluate transformer-based models using PyTorch.Develop APIs and deploy AI models in production environments.Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.Optimize model performance, scalability, and inference latency.Stay updated with the latest advancements in Generative AI, LLMs, Speech AI, and NLP technologies.Why Join CodeVyasa?Work on innovative, high-impact projects with leading global clients.Exposure to modern technologies, scalable systems, and cloud-native architectures.Continuous learning and upskilling opportunities through internal and external programs.Supportive and collaborative work culture with flexible policies.Competitive salary and comprehensive benefits package.Free healthcare coverage for employees and dependents.