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Software AI Engineer

Devsinc · Lahore

New
Mid 🇬🇧 English
Python NumPy Pandas SciPy Scikit-learn PyTorch TensorFlow Keras AWS Azure GCP FastAPI Flask Django Docker Kubernetes CI/CD MLOps MLflow Kubeflow SQL Git Hugging Face Transformers LangChain LlamaIndex

Job description

About the role

Devsinc is looking for a skilled and experienced Software AI Engineer in Lahore to design, develop, deploy and maintain scalable artificial intelligence and machine learning solutions. The engineer works with cross-functional teams to build intelligent applications, optimise model performance and integrate AI/ML into existing systems and business workflows.

Key responsibilities

  • Design, develop, train and optimise machine learning and deep learning models for real-world applications.
  • Build AI/ML pipelines covering data preprocessing, feature engineering, model training, evaluation and inference.
  • Develop AI-powered applications using Python and relevant AI/ML libraries and frameworks.
  • Implement Generative AI, Large Language Models (LLMs), NLP and Retrieval-Augmented Generation (RAG) solutions where required.
  • Deploy, monitor and maintain production-ready AI/ML models on cloud platforms.
  • Develop scalable APIs and backend services using FastAPI, Flask or Django.
  • Implement MLOps practices for model versioning, monitoring, testing and deployment automation.
  • Optimise model performance, scalability, reliability and cloud resource utilisation.
  • Collaborate with cross-functional teams and give technical guidance to junior engineers.

Required profile

  • Minimum 2 years of professional experience in AI/ML engineering, machine learning or a related field.
  • Hands-on experience deploying AI/ML models into production environments.
  • Experience with at least one major cloud platform: AWS, Microsoft Azure or Google Cloud Platform.
  • Knowledge of Docker, Kubernetes, CI/CD pipelines and model-serving technologies.
  • Familiarity with MLOps tools such as MLflow or Kubeflow.
  • Working knowledge of SQL, databases, Git, automated testing and monitoring tools.

Required skills

  • Strong Python, NumPy, Pandas, SciPy and Scikit-learn.
  • Deep learning frameworks such as PyTorch, TensorFlow or Keras.
  • REST APIs with FastAPI, Flask or Django.
  • Preferred: Hugging Face Transformers, LangChain, LlamaIndex, LLMs and RAG.

Questions fréquentes

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Source : ats:workable

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Published 3 hours ago

Expires 1 month from now

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Devsinc

Lahore