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Sr. Machine Learning Engineer (Remote, Contract) [HR216] (PK)

Smart Working•Pakistan•🌍 Remote
Contract3-7
👁️ 0 views•📝 0 applications•Posted 10/9/2026•Expires 12/8/2026
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Job Description

About Smart Working At Smart Working , we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity — it’s about finding where you truly belong, no matter where you are.

From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles.

We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role

We are seeking a Senior ML Engineer with strong experience in Applied AI, Machine Learning and MLOps to build and modernise an AI platform. The role combines Applied AI, MLOps and backend/platform engineering, with a strong focus on productionising, deploying, evaluating and operating ML/AI systems.

You will build new ML capabilities, modernise existing NLP and generative AI systems, and create reliable, observable infrastructure that makes models easier to integrate, evaluate, monitor and deploy.

Responsibilities

Refactor, modernise and productionise existing ML models and Applied AI capabilities, including NLP and generative AI solutions. Build new ML components and re-engineer existing models into standardised, production-ready modular components.

Develop production ML applications and supporting services primarily using Python . Build and maintain reliable ML pipelines covering model integration, evaluation, deployment and operation. Engineer resilient ML workflows with appropriate retry logic, error handling and repeatable execution.

Design and automate model evaluation pipelines using golden datasets and appropriate quality and performance thresholds. Evaluate different types of models using metri

Required Skills

Machine LearningMLOpsApplied AINLPPythongenerative AIML pipelinesmodel integrationmodel evaluationerror handlingresilient workflowsproduction-ready componentsautomated evaluation pipelines

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