E
Epergne Solutions
Machine Learning Engineer
Skills
Deep LearningDockerFlaskPythonMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingFastAPIAzure
2 months ago
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Important information
Contract type:
Permanent
Location:
Dubai - United Arab Emirates
Work mode:
Onsite
Published on:
21 August 2026
What they need
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
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