Senior ML Engineer - Production AI & MLOps (Remote)

Smart Working

Peshawar City Tehsil

Remote

PKR 33.213.000 - 49.820.000

Vollzeit

vor 11 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Smart Working is seeking a Senior ML Engineer to build and modernise an AI platform for full-time, remote work. The role blends Applied AI, MLOps, and backend engineering with productionisation, deployment, evaluation and operation of ML/AI systems.

You will design and implement ML capabilities, modernise NLP and generative AI systems, and create observable infrastructure to simplify model integration, evaluation and deployment across global teams.

Qualifikationen

  • 6+ years of professional AI/ML experience with production work.
  • 5+ years of professional MLOps experience.
  • 2+ years of Applied AI experience beyond experimentation.
  • Strong Python experience.
  • Experience with Docker and Kubernetes.
  • Proven productionising AI applications and models.
  • Experience with generative AI/LLMs and evaluation (grounding/hallucination).
  • Experience building ML pipelines and production architectures.
  • Backend engineering to integrate ML components.

Aufgaben

  • Refactor and productionise existing ML models and AI capabilities.
  • Build modular production-ready ML components.
  • Develop production ML apps using Python.
  • Maintain ML pipelines for integration, evaluation, deployment, and operation.
  • Design robust ML workflows with retry logic and error handling.
  • Automate model evaluation with golden datasets and quality thresholds.
  • Evaluate models including generative AI and classifications.
  • Implement guardrails for grounding and hallucination.
  • Apply RAG techniques where appropriate.
  • Design provenance for models, prompts, data.
  • Support shadow testing, A/B testing, fallbacks, kill switches.
  • Assist labeling and curation of golden datasets.
  • Build human-in-the-loop feedback for ML datasets.
  • Integrate external AI APIs and adapters.
  • Implement observability for model behavior and costs.
  • Contribute backend APIs to ML components.
  • Support batch and real-time ML workloads.

Kenntnisse

Python
MLOps
Applied AI
NLP
Generative AI
LLMs
RAG
Model evaluation
Backend APIs
Observability

Tools

Docker
Kubernetes

Jobbeschreibung

Smart Working is seeking a Senior ML Engineer to build and modernise an AI platform for full-time, remote work. The role blends Applied AI, MLOps, and backend engineering with productionisation, deployment, evaluation and operation of ML/AI systems.

You will design and implement ML capabilities, modernise NLP and generative AI systems, and create observable infrastructure to simplify model integration, evaluation and deployment across global teams.

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