Senior Machine Learning Engineer - Technology Consulting - Microsoft - Pakistan

EY · Karachi, Pakistan · Full-time · Senior

Salary not disclosed

About the role

Whole industries have been disrupted and transformed in recent years by digital technology. As a Technology Consulting professional, you will help organizations realize the value of their Microsoft, Data, AI and cloud investments by aligning technology solutions with business strategy and supporting large-scale digital transformation. As part of a high-performing team, you will deliver exceptional client service - advising on how enterprise platforms, AI-enabled solutions, automation, analytics and data-driven capabilities improve performance and act as multipliers during complex transformation programs.

As organizations continue to leverage technology to create competitive advantage, EY will support the development of your consulting, technical, and commercial skills. Working on engagements across industries and geographies, the experience you gain here will be truly distinctive. Wherever you start and however long you stay, the exceptional EY experience lasts a lifetime.

Job Summary

We are seeking a Machine Learning Engineer for Pakistan to design, develop, deploy, and operationalize machine learning solutions using Microsoft Fabric, Azure Machine Learning, and related Microsoft Data & AI technologies.

The role will support technical implementation across data ingestion, data preparation, model development, model deployment, monitoring, and optimization, transforming structured and unstructured enterprise data into scalable AI and predictive analytics solutions.

The position will support model performance, governance, operational readiness, and business value realization across client engagements.

Experience Requirements

Minimum 5+ years of Machine Learning Engineering, Data Science, or AI Engineering experience.

Strong hands-on experience with Microsoft Fabric, Azure Machine Learning, and enterprise AI platforms.

Proven experience building, tuning, deploying, and monitoring production-grade machine learning solutions.

Experience working with structured and unstructured datasets.

Experience implementing data quality, feature engineering, and data preparation frameworks.

Experience deploying models through APIs and batch-scoring architectures.

Experience with MLOps, model monitoring, drift detection, and retraining strategies.

Key Responsibilities

Data Engineering & Preparation

Build secure connectivity to on-premises databases and file repositories.

Develop and optimize data ingestion pipelines within Microsoft Fabric.

Design and maintain raw, staging, and curated data layers.

Implement ingestion of structured and unstructured datasets.

Support OCR and text extraction workflows where required.

Implement monitoring, logging, exception handling, and pipeline performance optimization.

Perform data cleansing, normalization, standardization, enrichment, and de-duplication.

Create and maintain curated gold datasets for AI and analytics consumption.

Machine Learning Development

Define ML problem statements and translate business objectives into model requirements.

Develop feature engineering pipelines and model training workflows.

Train, benchmark, validate, and optimize machine learning models.

Evaluate model performance against agreed KPIs and business outcomes.

MLOps

Deploy models into production or operational environments.

Build monitoring frameworks for model performance, data drift, and operational issues.

Establish retraining schedules and model lifecycle management processes.

Support production readiness, documentation, and handover activities.

Data Science

Conduct statistical analysis and exploratory data analysis.

Develop predictive modelling approaches and model evaluation frameworks.

Support KPI-driven model validation and insight generation.

Required Technical Skills

Programming

Python (Mandatory)

SQL

REST APIs

Git

CI/CD Pipelines

DevOps Practices

Machine Learning

Scikit-Learn

TensorFlow

PyTorch

XGBoost

MLflow

Data Platforms

Microsoft Fabric

Azure Machine Learning

Azure Data Factory

SQL Server

Data Engineering

ETL / ELT

APIs

Data Pipelines

Data Validation Frameworks

Analytics

Power BI

Visualization Tools

Statistical Modeling

Preferred Certifications

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Azure Data Scientist Associate

Microsoft Certified: Fabric Analytics Engineer Associate

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Azure Developer Associate

What We Look For

Highly motivated ML professionals with strong engineering discipline, problem-solving ability, and a practical understanding of how to operationalize models in enterprise environments.

What We Offer

We offer a competitive compensation package where you are rewarded based on performance and recognized for the value you bring to our business. In addition, we offer:

Continuous learning: Develop the mindset and skills needed to navigate future challenges.

Success defined by you: Flexibility and tools to make a meaningful impact in your own way.

Transformative leadership: Coaching, feedback, and experiences to help you grow as a leader.

Diverse and inclusive culture: An environment where you are respected, supported, and empowered to thrive.

If you can demonstrate that you meet the criteria above, we encourage you to apply.

The exceptional EY experience. It's yours to build.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people, and society, and to build trust in the capital markets.

Enabled by data and technology, diverse EY teams in more than 150 countries provide trust through assurance and help clients grow, transform, and operate.

Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers to the complex issues facing the world today.

The employer handles your application on its own site.

Skills

Python, SQL, Azure, DevOps, CI/CD, Power BI, Machine Learning, Data Science

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