Develop, validate, deploy, and monitor machine learning models for enterprise business and operational use cases. Responsibilities include data preparation, feature engineering, model development, explainability, ML pipeline construction, model versioning, retraining, monitoring, workflow integration, documentation, and knowledge transfer. The role requires advanced Python, Azure Machine Learning, SQL, production ML Ops, and experience delivering end-to-end solutions onsite in Abu Dhabi.
Machine Learning Engineer / Data Scientist
Job Title: Machine Learning Engineer / Data Scientist
Experience Required: 6+ years (including 3+ years hands-on model development and production deployment)
Model: Onsite (Abu Dhabi)
Project Location: Abu Dhabi – UAE
Language: Arabic speaking preferred, English required
Start Date: As soon as possible
Duration: 6–12 months
We are seeking a Machine Learning Engineer / Data Scientist to develop, validate, deploy, and monitor machine learning models for business and operational use cases. You will build reproducible ML pipelines and operationalize models using enterprise data platforms, delivering end-to-end ML solutions in complex enterprise environments. The ideal candidate has strong applied data science skills and hands-on production ML Ops experience.
Key Responsibilities:- Translate analytical requirements into predictive and optimization solutions.
- Perform data preparation and feature engineering.
- Train, test, validate, and explain ML models.
- Build pipelines for model versioning, deployment, retraining, and monitoring.
- Integrate models into business and operational workflows.
- Prepare technical documentation and knowledge-transfer materials.
- Experience: Minimum 6 years of data science or machine learning experience, including at least 3 years of hands-on model development and production deployment.
- Production track record: Experience delivering end-to-end ML solutions in complex enterprise environments.
- Python: Advanced Python skills, including pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
- ML techniques: Strong knowledge of regression, classification, clustering, time-series forecasting, anomaly detection, optimization, and model explainability.
- Azure ML: Hands-on experience with Azure Machine Learning, notebooks, experiments, pipelines, model registry, managed endpoints, and monitoring.
- SQL & data: Strong SQL skills and experience with large-scale structured and time-series datasets.
- ML Ops: Experience with ML flow, Git, Azure DevOps, CI/CD, Docker, APIs, and production ML Ops.
- Language: English required; Arabic speaking preferred.
- Availability: Onsite in Abu Dhabi; able to start as soon as possible.
- Experience with Microsoft Fabric, Spark, or Databricks.
- Relevant Azure Data Scientist or AI certifications.
- Experience with operational, energy, financial, asset-performance, forecasting, optimization, or predictive-maintenance use cases.
Similar Jobs
Edtech • HR Tech • Information Technology • Professional Services
Develop production-grade machine learning systems focused on LLM applications, prompt engineering, AI document extraction, structured outputs, evaluation frameworks, and human-in-the-loop workflows. Integrate enterprise data from Snowflake, Cosmos DB, and SAP, while using Azure AI services, Azure Machine Learning, MLflow, OpenTelemetry, and Pydantic validation.
Top Skills:
Ai Document IntelligenceAzure Ai Document IntelligenceAzure Machine LearningAzure OpenaiCosmos DbLarge Language Models (Llms)MlflowOpentelemetryPrompt EngineeringPydanticPythonSAPSnowflake
Security • Cybersecurity
Own global revenue recognition under ASC 606 and accounting processes including commissions, COGS, and leases. Review tax provisions, returns, transfer pricing, and subsidiary filings; support external audits and cross-functional reporting. Lead accounting projects, process improvements, and AI-driven workflow automation. Requires a CA, Big 4 high-tech experience, strong US GAAP and revenue recognition knowledge, ERP experience, advanced Excel skills, and excellent communication.
Top Skills:
Ai Automation ToolsAsc 340-40Asc 606ExcelMS OfficeNetSuiteUs Gaap
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The Head ASP Management is responsible for procurement of ASP services, vendor relationships, contractual compliance, quality delivery, and supplier performance evaluation while driving cost efficiency and improvements in service delivery processes.
Top Skills:
AspMicrowaveOhsRan
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
