AI/ML Engineer

VAYUZ Technologies; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

VAYUZ Technologies in Bengaluru seeks an Associate AI/ML Engineer to help develop ML and multimodal capabilities across text, image, audio, and video. You will work on data engineering tasks, baseline models, and assist senior engineers in building production-ready AI features for media workflows such as content tagging, transcription, and personalized recommendations.

You will collaborate with senior ML engineers and data teams to implement experiments, document results, and contribute to demos

Qualifications

• Bachelor's in CS, AI, Data Science, or equivalent.
• Internships or academic projects in machine learning or media AI.

Responsibilities

• Implement baseline ML models for classification, regression, recommendation, and text analytics.
• Train small-scale multimodal models using datasets containing images, audio, and video frames.
• Conduct experiments with OCR, ASR, TTS, object detection, and emotion/sentiment detection.
• Clean and preprocess media data (transcripts, videos, images).
• Extract features from audio/video using libraries like OpenCV, ffmpeg, librosa.
• Assist in building training and evaluation pipelines (data loaders, augmentation pipelines).
• Support deployment of inference APIs using FastAPI/Flask.

Skills

Deep learning basics

PyTorch

TensorFlow

OpenCV

Librosa

Media formats

Cloud ML services

Education

Bachelor's in CS/AI/Data Science

Tools

PyTorch

TensorFlow

OpenCV

FFmpeg

librosa

Job description

The Associate AI/ML Engineer supports the development of machine learning and multimodal capabilities across text, image, audio, and video.

This role focuses on data engineering tasks, implementing baseline models, and assisting senior engineers in building production-ready AI features for media workflows such as content tagging, speech transcription, image understanding, and personalized recommendations.

Detailed Responsibilities

• Implement baseline ML models for classification, regression, recommendation, and text analytics.
• Train small-scale multimodal models using datasets containing images, audio, and video frames.
• Conduct experiments with OCR, ASR, TTS, object detection, and emotion/sentiment detection.
• Clean and preprocess structured/unstructured media data (transcripts, videos, images).
• Extract features from audio/video using libraries like OpenCV, ffmpeg, librosa.
• Assist in building training and evaluation pipelines (data loaders, augmentation pipelines).
• Support deployment of inference APIs using FastAPI/Flask.

Testing, Documentation, and Code Quality

• Write unit tests, maintain notebooks/scripts, and ensure code hygiene.
• Document workflows, model behaviors, and experiment results.

Cross-functional Collaboration

• Work with senior ML engineers, data engineers, and media teams to support AI features.
• Assist in preparing demos, POCs, and reports.

Must-Have Skills

• Basics of deep learning (CNNs/RNNs/Transformers).
• Familiarity with PyTorch/TensorFlow, OpenCV, librosa.
• Understanding of media formats: MP4, WAV, PNG/JPEG, subtitles.
• Exposure to cloud ML services (Azure Video Indexer, AWS Rekognition).

Preferred Skills

• Experience with pre-trained multimodal models (CLIP, Whisper, ViT).
• Basic understanding of embeddings and vector databases.
• Familiarity with data labeling and annotation tools.

Qualifications

• Bachelor's in CS, AI, Data Science, or equivalent.
• Internships or academic projects in machine learning or media AI.