Senior Scientist - Machine Learning Job Abu Dhabi area,UAE/Dubai,Software Development

Job Description Abu Dhabi About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight‑driven decision‑making that shapes policy and creates safer, healthier, happier, and more sustainable societies.

Today, through its range of GenAI‑driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

Job Description Abu Dhabi About Presight

Position Overview

We’re looking for an experienced and hands‑on Senior
Machine Learning Scientist with deep expertise in audio and speech technologies to drive the design, development, and deployment of advanced ML models powering our data integration platform. In this role, you will focuse on speech‑to‑text (with domain adaptation), speaker identification, keyword spotting, language identification, and deep fake detection
. You will work closely with engineering and data infrastructure teams to build, optimize, and deploy scalable ML services in production using NVIDIA Triton
, Kubernetes
, and modern transformer‑based architectures
. This position requires a unique combination of machine learning depth
, software engineering proficiency
, and team work skills to deliver robust, real‑time, multimodal ML enrichment capabilities.

Key Responsibilities

Lead the ML Audio team in developing, training, and deploying production‑grade models for:
- Speech‑to‑text (including domain adaptation)
- Speaker identification and verification
- Keyword spotting
- Language identification
- Deepfake and synthetic audio detection
- Research and integrate transformer‑based and multi‑modal model architectures into production pipelines.
- Collaborate with platform engineers to deploy ML models via NVIDIA Triton Inference Server and ensure low‑latency, scalable serving.
- Design and maintain Airflow DAGs for data preprocessing, feature extraction, and model enrichment pipelines.
- Ensure continuous improvement of models through retraining, performance monitoring, and data feedback loops.
- Collaborate cross‑functionally with Data Engineering, Backend, and Product teams to integrate ML capabilities into the platform.
- Mentor and guide ML engineers and researchers, fostering a culture of technical rigor, creativity, and collaboration.
- Oversee release and validation processes for ML components within larger system releases.
- Contribute to and review production‑level code in Python (C++, Golang, Rust knowledge is beneficial).
Contribute to and review production‑level code in Python (C++, Golang, Rust knowledge is beneficial).

Requirements

Proven experience working within ML teams, ideally in audio/speech technology domains.
Strong foundation in machine learning and deep learning, particularly in speech processing and audio analysis.
Hands‑on experience with:

Speech‑to‑text systems (ASR, domain adaptation, fine‑tuning large models)
Speaker recognition and keyword spotting
Language deepfake detection

Solid understanding of transformer‑based model architectures (e.g., Wav2

Vec2, Whisper, HuBERT, SpeechT5) and multimodal fusion techniques.
Proficiency in Python and familiarity with C++, Golang, Rust for performance‑critical components is beneficial.
Experienc…