AI Engineer (Deep Learning / Research Focus) – Full Time

Overview

We are seeking a highly skilled AI Engineer to join our core AI team at Vaiu AI. This role is ideal for candidates with strong hands-on experience in deep learning research, model training / fine-tuning, and open-source contributions, not just API-based GenAI workflows. You will work on building and improving the core AI systems behind our voice agents and intelligent automation platform.

Position Details

• Role Type: Full-time
• Experience Level: 0–3 years (flexible for strong candidates)
• Location: Remote
• Compensation: Competitive, based on experience

Key Responsibilities

• Design, train, fine-tune, and evaluate deep learning models for speech, NLP, and conversational AI tasks
• Conduct experiments, ablation studies, and performance benchmarking on models and datasets
• Implement and reproduce research papers in areas such as ASR, TTS, LLMs, multimodal models, or speech understanding
• Build and maintain data pipelines for training and evaluation
• Optimize models for inference efficiency and production deployment
• Collaborate with product and engineering teams to integrate research outputs into real systems
• Document experiments, results, and research findings clearly
• Required Skills & Qualifications

Must Have:

• Strong foundation in Deep Learning and Machine Learning fundamentals
• Hands-on experience with PyTorch or TensorFlow (PyTorch preferred)
• Experience training / fine-tuning models (not only calling APIs)
• Experience working on research-style projects, experiments, or thesis work
• Familiarity with reading and implementing research papers
• Strong Python programming skills
• Experience with Git and collaborative development
• Solid understanding of model evaluation, metrics, and debugging

Highly Preferred / Differentiators:

• Published or submitted research papers in deep learning / ML conferences or journals
• Open-source contributions related to ML / DL frameworks, models, or tooling
• Experience in NLP, Speech (ASR / TTS), LLMs, or Conversational AI
• Experience fine-tuning LLMs, diffusion models, or speech models
• Knowledge of training pipelines, distributed training, or experiment tracking (W&B, MLflow, etc.)
• Experience deploying models or optimizing inference (ONNX, TorchScript, quantization, etc.)

What You’ll Work On

• Core model training and fine-tuning for voice agents and conversational AI
• Research-driven improvements to speech recognition, intent understanding, and dialogue systems
• Building experimental prototypes and translating research into production features
• Contributing to internal ML tooling and open-source components

Career Growth

At Vaiu AI, you will work on production-scale applied AI and research-driven systems. This role offers fast growth into Senior AI Engineer / Research Engineer positions, with opportunities to lead model development, publish applied research, and own core AI components of the platform.

How to Apply

Please share:

• Updated resume / CV
• GitHub profile (mandatory)
• Links to research papers, preprints, or technical blogs (if any)
• Brief description of ML / DL projects and experiments you’ve worked on
• Any open-source contributions

Please apply here only!