Machine Learning Engineer
EPAM Systems
Date: 1 week ago
City: Abu Dhabi
Contract type: Full time
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
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
- 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
- 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
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