
Machine Learning Engineer
Epergne Solutions
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