Job Description

Are you passionate about leveraging cutting-edge AI and machine learning technologies to transform industries? EPAM is seeking a skilled

Machine Learning Engineer

to join a transformative healthcare project in Abu Dhabi.


This role focuses on delivering impactful AI-driven solutions by designing and implementing machine learning models that address healthcare-specific challenges.


As part of this ambitious initiative, you will work with large-scale healthcare datasets, optimize operational efficiency, and improve patient outcomes through personalized care and automation. This is your opportunity to make a meaningful impact while working at the forefront of digital innovation in healthcare.

Responsibilities

Develop and deploy machine learning models and AI-driven solutions that address healthcare-specific needs Analyse large, complex healthcare datasets to identify actionable insights and opportunities for improvement Perform preprocessing, feature engineering and model validation to ensure high standards of solution quality Collaborate with multidisciplinary teams to ensure seamless execution and delivery of AI use cases

Requirements

3 -7+ years of experience in data science, with relevant experience in healthcare or life sciences domains Advanced knowledge of machine learning techniques, including NLP, Deep Learning, Computer Vision (CV) etc Strong programming skills in Python, SQL, Spark and hands-on expertise with widely used machine learning libraries such as TensorFlow, PyTorch, Spark MLlib, MLFlow, LangChain or LlamaIndex Proficiency in building and scaling MLOps and LLMOps architectures Experience with developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker and related frameworks Familiarity with Databricks and cloud platforms, preferably Azure Expertise in healthcare datasets, data pipelines and regulatory requirements Understanding of healthcare industry challenges and AI applications in life sciences and patient care The role requires working from the office

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