Senior ML Engineer - Remote Production AI & MLOps Lead

Smart Working; Sindh; Remote; PKR 33,223,000 - 49,834,000; Full time

Job summary

Smart Working is 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

Qualifications

• 6+ years of professional AI/Machine Learning experience.
• 5+ years of professional MLOps experience.
• At least 2+ years of real Applied AI experience.
• Strong professional Python experience; Python is the core programming language for this role.
• Proven experience productionising and deploying AI/ML applications and models.
• Strong understanding of Applied AI/ML and MLOps.
• Experience working with generative AI/LLMs and evaluation considerations such as grounding and hallucination.
• Hands-on understanding of RAG and other Applied AI techniques.

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 production-ready modules.
• Develop production ML applications and supporting services using Python.
• Build and maintain reliable ML pipelines covering model integration, evaluation, deployment and operation.
• Design and automate model evaluation pipelines using golden datasets and quality thresholds.
• Evaluate different model types using appropriate metrics for their outputs (generative AI, classification, etc.).
• Implement guardrails to assess grounding and hallucinations in AI outputs.
• Design mechanisms for model, prompt and input-data provenance for auditability.
• Build infrastructure supporting shadow testing, A/B testing, fallback strategies and kill switches for safe deployment.

Skills

Python

MLOps

Applied AI

NLP

Generative AI

RAG

Model Evaluation

Observability

Backend integration

Tools

Docker

Kubernetes

FastAPI

Cloud platforms

Argo Workflows

Job description

Smart Working is 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