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Job Description
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
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
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 and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
*All benefits and perks are subject to certain eligibility requirements
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
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
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 and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
*All benefits and perks are subject to certain eligibility requirements
Job Requirements
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
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