Middle ML Engineer, Computer Vision

inDrive

. Develop, deploy, and maintain machine learning models and systems .

Posted 10/15/2026full-timeIslamabad • PakistanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining machine learning models, with strong proficiency in Python and data processing frameworks. Capable of applying MLOps principles and collaborating effectively with cross-functional teams to deliver high-quality solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingMLOps PrinciplesData Analysis and ProcessingComputer Vision

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningData Processing FrameworksExperiment DesignBackend SystemsAsynchronous Data ProcessingClassical Machine LearningAdvanced MathematicsDesign PatternsGolang

Soft Skills

Problem-SolvingCommunicationCollaborationActive ListeningConsensus Building

Industry Keywords

MLOpsData VerificationSecurity GuidelinesPerformance MonitoringDocumentation

Tech Stack

Tools & technologies

PythonGo

About the role

Key responsibilities & impact

Develop, deploy, and maintain machine learning models and systems
Automate the driver verification process
Conduct in-depth data analysis, preparation, and processing
Contribute to ML system design, especially annotation and data processing
Follow security guidelines and identify potential risks
Collaborate with peers to review and ensure designs are effective, flexible, and reusable
Solve issues and provide feedback for engineering design and delivery processes
Ensure features are deployed according to requirements without unintended side effects
Create and maintain documentation for models and processes
Monitor and support deployed solutions to meet performance expectations
Seek internal information and solutions to promote reuse and adoption of common technologies

Requirements

What you’ll need

3+ years of experience in the field
Previous software engineering experience is preferable
Strong proficiency in Python and common data processing frameworks for streaming, batch, and asynchronous data
Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics
Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle
Experience with backend systems and infrastructure
Willingness to learn new technologies such as Golang for integration purposes
Ability to design solutions using common design patterns and various design tools
Experience in experiment design and ability to validate information credibility from various sources
Solid understanding of the business value of delivered features
Strong problem-solving skills using technical facts and reasoning
Excellent communication and collaboration skills, including active listening and consensus building
Drive for continuous self-development and collaborative mindset
Ability to balance quality and speed and justify decisions
Ability to explain technical decisions to non-technical stakeholders, including product and business managers
English communication skills
Experience in computer vision is essential

Benefits

Comp & perks

Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.