AI/ML Engineer, MLOps Engineer, Senior Data Scientist

turingedge โ€ข Kuwait City Metropolitan Area
Remote Relocation
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AI Summary

TuringEdge Technologies is hiring AI/ML professionals for a large-scale international AI deployment project in the Middle East. The ideal candidate will have experience in building next-generation AI, Machine Learning, and Digital Intelligence systems. Responsibilities include designing, building, and deploying machine learning models, working with supervised, unsupervised, deep learning, and generative AI models, and collaborating with data engineers and MLOps teams for production deployments.

Key Highlights
AI/ML Engineer
MLOps Engineer
Senior Data Scientist
Key Responsibilities
Design, build, and deploy machine learning models
Work with supervised, unsupervised, deep learning, and generative AI models
Develop scalable ML services and deploy models as APIs
Collaborate with data engineers and MLOps teams for production deployments
Optimize model performance and inference pipelines
Build and maintain ML pipelines for training, deployment, and monitoring
Design CI/CD pipelines for machine learning systems
Manage model lifecycle, versioning, and experiment tracking
Optimize model training infrastructure and deployment workflows
Work closely with AI engineers and data scientists
Analyze complex datasets and develop predictive models
Work on forecasting, anomaly detection, and classification problems
Build data pipelines and advanced analytics workflows
Develop data-driven insights for enterprise applications
Communicate analytical results to technical and business stakeholders
Technical Skills Required
Python TensorFlow PyTorch MLflow Docker Kubernetes Azure AWS GCP
Benefits & Perks
Accommodation will be fully arranged by the client
Travel and relocation logistics will be coordinated during the relocation phase

Job Description


TuringEdge Technologies Pvt Ltd is Hiring AI/ML Professionals (Contract โ€“ International Project)

TuringEdge Technologies is expanding its AI engineering team for a large-scale international AI deployment project in the Middle East.

We are looking for experienced professionals who are passionate about building next-generation AI, Machine Learning, and Digital Intelligence systems and enjoy solving complex problems with data and scalable infrastructure.

This opportunity is ideal for engineers and data scientists who want to work on real-world enterprise AI deployments across cloud environments and production ML systems.

Open Positions1. AI / ML Engineer

Experience: 4 โ€“ 7 Years

Role Type: Contract (7 Months)

Key Responsibilities

โ€ข Design, build, and deploy machine learning models

โ€ข Work with supervised, unsupervised, deep learning, and generative AI models

โ€ข Develop scalable ML services and deploy models as APIs

โ€ข Collaborate with data engineers and MLOps teams for production deployments

โ€ข Optimize model performance and inference pipelines

Required Skills

โ€ข Python

โ€ข TensorFlow / PyTorch

โ€ข ML model deployment

โ€ข REST API development

โ€ข Cloud platforms (AWS / Azure / GCP)

2. MLOps Engineer

Experience: 8 โ€“ 12+ Years

Role Type: Contract (7 Months)

Key Responsibilities

โ€ข Build and maintain ML pipelines for training, deployment, and monitoring

โ€ข Design CI/CD pipelines for machine learning systems

โ€ข Manage model lifecycle, versioning, and experiment tracking

โ€ข Optimize model training infrastructure and deployment workflows

โ€ข Work closely with AI engineers and data scientists

Required Skills

โ€ข MLflow

โ€ข Kubeflow

โ€ข Docker

โ€ข Kubernetes

โ€ข CI/CD pipelines for ML systems

โ€ข Azure ML / AWS SageMaker / GCP AI Platform

3. Senior Data Scientist

Experience: 10+ Years

Role Type: Contract (7 Months)

Key Responsibilities

โ€ข Analyze complex datasets and develop predictive models

โ€ข Work on forecasting, anomaly detection, and classification problems

โ€ข Build data pipelines and advanced analytics workflows

โ€ข Develop data-driven insights for enterprise applications

โ€ข Communicate analytical results to technical and business stakeholders

Required Skills

โ€ข Python

โ€ข SQL

โ€ข Statistical modeling

โ€ข Time-series forecasting

โ€ข Data visualization tools (Tableau / PowerBI / Python libraries)

Tech Stack

Python | TensorFlow | PyTorch | MLflow | Docker | Kubernetes | Azure | AWS | GCP

Work Location

This project is associated with a client based in the Middle East.

Planned location after stabilization:

Kuwait or Qatar

However, due to the current regional situation, the project will initially start remote.

Once the situation stabilizes, relocation to Kuwait or Qatar may be required.

Important

โ€ข Accommodation will be fully arranged by the client

โ€ข Travel and relocation logistics will be coordinated during the relocation phase

Contract Details

Contract Duration: 7 Months

Possible extension depending on project requirements.

Why Join This Project

โ€ข Work on enterprise-scale AI systems

โ€ข Opportunity to collaborate with international teams

โ€ข Exposure to production ML deployments in large environments

โ€ข Potential long-term engagement with global AI projects

How to Apply

Interested candidates can apply by sending their CV and project portfolio.

Shortlisted candidates will go through a technical screening process.


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