Senior Machine Learning Engineer

Feb 9, 2026
IT & Engineering

VSOL is a digital enabler with a mission to help public and private organizations evolve their businesses through data and technology. We provide an end-to-end service from consulting to execution that drives the growth and innovation of our clients. As VSOL is in a phase of rapid expansion, we offer a dynamic, creative environment that accelerates your personal and professional development. We are looking for talented individuals eager to develop in international markets while contributing to the company’s future in a constructive and supportive manner.

Responsibilities:

Design and implement end-to-end ML pipelines including data ingestion, feature engineering, model training, evaluation, and deployment.
Build and maintain MLOps infrastructure for model versioning, experiment tracking, and automated retraining.
Optimize model performance for latency, throughput, and resource efficiency in production environments.
Collaborate with data scientists to translate experimental models into production-ready systems.
Design and implement computer vision pipelines for image classification, object detection, segmentation, and tracking.
Build and deploy real-time video analytics and processing systems.
Implement image and video preprocessing, augmentation, and quality enhancement pipelines.
Design and deploy LLM-powered applications including chatbots, content generation systems, and intelligent agents.

Bachelor’s degree in computer science, AI, Machine Learning, or related field.
5+ years of experience in software engineering with at least 3 years focused on machine learning systems.
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, etc.
Strong understanding of CNN architectures (ResNet, EfficientNet, ConvNeXt) and vision transformers (ViT, Swin, DINO) priorities.
Experience with object detection frameworks (YOLO, Faster R-CNN, DETR) and instance/semantic segmentation.
Proficiency with LLM orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel. Knowledge of embedding models and semantic search techniques.
Deep understanding of transformer architectures and attention mechanisms.
Proficiency with cloud platforms (AWS, Azure, or GCP) and their ML services.
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
Familiarity with MLOps tools such as MLflow, Kubeflow, Weights & Biases, similar.

Preferred Qualifications

Experience deploying LLMs or transformer-based models in production
Knowledge of model serving frameworks (TensorRT, vLLM, Triton Inference Server).
Experience with feature stores and vector databases.
Background in real-time inference systems or streaming architectures.
Contributions to open-source ML projects.
Advanced degree in Computer Science, Machine Learning, Computer Vision, or related field.

Why you’ll love working here

Working in start-up environment, English-speaking, with opportunity to be part of innovation team and global projects.
Onsite opportunities in UAE (United Arab Emirates) and KSA (Kingdom of Saudi Arabia).
13th-month salary, performance bonus
Premium Health insurance for employees and family members (depending on level), Annual Health Check, Government Insurance in probation
14++ days of Annual leave and 5 days of Outing leave
Lunch allowance and free parking
Taxi & phone allowance (depending on level)

Careers

Senior Machine Learning Engineer

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