Senior ML Engineer - Remote AI Platform & MLOps

Smart Working; Peshawar City Tehsil; Remote; PKR 33,232,000 - 49,848,000; Full time

Job summary

Smart Working is seeking a Senior ML Engineer to build and modernise an AI platform, combining Applied AI, MLOps and backend engineering. The role focuses on productionising models, deploying ML pipelines, and improving NLP/generative AI capabilities with robust observability and governance.

Remote-first environment supports global teams. You will develop production ML applications in Python, engineer modular components, and ensure safe deployment with guardrails and auditability across ML

Qualifications

• 6+ years of professional AI/Machine Learning experience.
• 5+ years of professional MLOps experience.
• 2+ years of real Applied AI experience.
• Strong Python experience; Python is the core language.
• Proven productionising and deploying AI/ML applications and models.
• Strong understanding of Applied AI/ML and MLOps.

Responsibilities

• Refactor, modernise and productionise existing ML models and Applied AI capabilities.
• Build new ML components and re-engineer models into modular components.
• Develop production ML applications using Python.
• Build and maintain ML pipelines for model integration, evaluation, deployment and operation.
• Engineer resilient ML workflows with retry logic and error handling.
• Design and automate model evaluation pipelines with golden datasets.
• Evaluate models including generative AI, classification, and other ML use cases.
• Implement guardrails to assess grounding and hallucinations in outputs.
• Apply RAG and other Applied AI techniques where appropriate.
• Design provenance mechanisms for model, prompt and data.
• Build infra supporting shadow testing, A/B testing, and fail-safes.
• Support labelling and curation of golden datasets for evaluation.
• Build human-in-the-loop feedback pipelines to improve datasets.
• Integrate third-party AI APIs and adapters.
• Implement observability and telemetry for model behavior and costs.
• Contribute backend engineering for ML capabilities.

Skills

AI/ML experience

MLOps experience

Python proficiency

Production ML

Generative AI

Applied AI

Model evaluation

LLMs

Back-end integration

Governance & safeguards

Tools

Docker

Kubernetes

FastAPI

Cloud platforms

Job description

Smart Working is seeking a Senior ML Engineer to build and modernise an AI platform, combining Applied AI, MLOps and backend engineering. The role focuses on productionising models, deploying ML pipelines, and improving NLP/generative AI capabilities with robust observability and governance.

Remote-first environment supports global teams. You will develop production ML applications in Python, engineer modular components, and ensure safe deployment with guardrails and auditability across ML