16 Aug
|
CodeVyasa
|
Bengaluru
16 Aug
CodeVyasa
Bengaluru
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).
- 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 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 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 perks package.
- Free healthcare coverage for employees and dependents.
📌 Machine Learning Engineer (Bengaluru)
🏢 CodeVyasa
📍 Bengaluru