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Machine Learning Engineer

Epergne Solutions

On-site๐Ÿ‡ฆ๐Ÿ‡ชSharjah, SH, UAEseniorPosted 14d ago

Visa & sponsorship

  • Employers in UAE sponsor the residence visa by default, and nothing in the posting says otherwise.

Job description

Job Role

:-Machine Learning Engineer

Job Location

:- Abu Dhabi, UAE

Experience

:- 3-7 Years

Role Overview:-

  • Design, develop, and deploy

    scalable ML/AI solutions

    for complex business problems.

  • Build

    production-grade ML systems

    covering model development, deployment, optimization, and lifecycle management.

Key Responsibilities:-

  • Work with

    large and complex datasets

    to develop data-driven solutions.

  • Develop, train, fine-tune, and optimize

    ML, deep learning, neural network, Agentic AI, SLM/LLM models

    .

  • Build

    end-to-end ML pipelines

    covering data ingestion, transformation, training, validation, and deployment.

  • Develop and optimize

    real-time and batch inference

    solutions.

  • Build

    ML system architectures

    and integrate models into production applications.

  • Automate model training, testing, deployment, and monitoring using

    CI/CD and MLOps

    practices.

  • Develop model-serving APIs using

    FastAPI/Flask

    .

  • Collaborate with cross-functional engineering and business teams to deliver end-to-end AI solutions.

  • Deploy and manage ML solutions on

    AWS/Azure

    .

Requirements & Skills:-

  • 3?7 years

    of experience building and deploying production-grade, scalable AI/ML systems.

  • Strong expertise in

    supervised/unsupervised learning, deep learning, NLP, computer vision, or Generative AI/LLMs

    .

  • Strong understanding of

    ML system architecture and model optimization

    .

  • Experience with

    Python and modern ML/AI frameworks

    .

  • Knowledge of

    Docker, Kubernetes, CI/CD, MLflow/Kubeflow or similar MLOps tools

    .

  • Experience with

    model serving, APIs, and production deployment

    .

  • Hands-on experience deploying ML models on

    AWS or Azure

    .

  • Bachelor?s degree

    in Computer Science, Engineering, or related field.

  • Master?s/PhD

    in Computer Science or related field is preferred.

  • Banking Exposure is preferred