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.
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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, and Computer Vision (CV).
- 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:
- End of service gratuity
- Private healthcare and life insurance
- Employee assistance program
- Wellness program
- Annual air travel tickets for expatriates
- Regular performance feedback and salary reviews
- Global travel medical and accident insurance
- Referral bonuses
- Learning and development opportunities including in-house training, coaching, and access to over 22,000 courses on LinkedIn Learning Solutions.
All benefits and perks are subject to certain eligibility requirements.
