Machine Learning Engineer

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. 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.

Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time

Responsibilities

• Develop and deploy machine learning models and AI-driven solutions that address healthcare-specific needs.
• Analyze 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.

Benefits

• 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.

Language Requirements

• Proficiency in English is expected.