Job Description
We are seeking a skilled Machine Learning Engineer | Bangalore having 4+ yrs with strong experience in designing and developing scalable enterprise applications.

About Us
CodeVyasa 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 Skills
4-8 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).
Solid 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 Responsibilities




Design, 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

📌 Machine Learning Engineer (Bengaluru)
🏢 CodeVyasa
📍 Bengaluru