Senior Machine Learning Engineer (relocation to Cyprus)

Undelucram.ro on behalf of:

EPAM Romania

We are looking for a Senior Machine Learning Engineer with a strong background in data science and software engineering to join us in Cyprus, working from our office in a flexible and hybrid work setup.

As a Machine Learning Engineer you will develop and deploy machine learning models, work with large datasets and collaborate with cross-functional teams to solve business problems.

This position is integral to one of our projects in the client’s Finance IT area focusing on the integration component of their finance landscape. If you're ready to leverage your skills and perspective to make a significant impact, apply now and help us transform our data capabilities in the finance and insurance industries.

Responsibilities

• Be responsible for the transition of machine learning algorithms to production environment and integration with enterprise ecosystem
• Design, create, maintain, troubleshoot and optimize the complete end-to-end machine learning lifecycle
• Write specifications, documentation and user guides for developed solutions
• Build frameworks for data scientists to accelerate the development of production-grade machine learning models
• Collaborate with data scientists and engineering team to optimize the performance of ML pipeline
• Constantly improve SDLC practices
• Establish and configure CI/CD/CT processes
• Design and maintain ML models continuous training
• Provide capabilities for early detection of various drifts (data, concept, schema, etc.)
• Promote and support MLOps practices
  
  

Requirements

• 5 years experience as ML engineer or Data Engineer of designing, building and deploying production applications and data pipelines
• Strong knowledge and experience in Python development
• Deep understanding of Python ML ecosystem (PyTorch, TensorFlow, NumPy, Pandas, Sklearn, XGBoost, etc.)
• Hands-on experience in implementation of Data Products
• Deep understanding of data preparation and feature engineering
• Understanding of Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
• Deep hands-on experience with implementation of SDLC best practices in complex IT projects and with data processing paradigms
• Knowledge and experience in computer science disciplines such as data structures, algorithms, and software design patterns
• Experience with some of the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex AI/AI Platform, Databricks MLFlow, Kubeflow, Airflow, Argo Workflow, TensorFlow Extended (TFX), etc.
• Experience with basic software engineering tools, e.g., git, CI/CD environment (such as Jenkins or Buildkite), PyPi, Docker, Kubernetes, unit testing and general object-oriented design
• Fluent English language knowledge
  
  

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000 courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn