Tech Lead (AI-ML & Data Science)
at Intelehealth
Bayern, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 06 Aug, 2024 | Not Specified | 06 May, 2024 | 4 year(s) or above | Dicom,Numpy,Computer Science,Pandas,Computer Vision,Scikit Learn,Natural Language Processing,Mathematics,Data Science,Nlp,Machine Learning,Deep Learning | No | No |
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Description:
Intelehealth | Full time
Tech Lead (AI-ML & Data Science)
Remote Job | Posted on 02/13/2024
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Job Information
Industry
Technology
Work Experience
Min. 4 years
Remote Job
Job Description
This is a remote position.
QUALIFICATIONS:
- Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or Engineering
EXPERIENCE:
Minimum 4 years of Industry work experience
-
SKILL SETS:
- Strong Python skills and experience using standard libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, etc
- Strong knowledge of data science, statistical analysis, machine learning, and AI algorithms, tools and frameworks
- Strong analytical and problem-solving skills, with the ability to identify and solve complex technical problems is required
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams is required
- Experience with image processing algorithms, computer vision, deep learning is preferred
- Familiarity with Natural Language Processing (NLP) and Large Language Models is preferred
- Experience with healthcare data sources such as EHRs and medical images, and familiarity with healthcare standards and protocols such as HL7, FHIR, and DICOM is desirable
Benefits
- Remote working.
- Flexible working hours.
- Great work culture
- 5 days working.
Responsibilities:
- Design, develop AI/ML algorithms as well integrate off the shelf models & solutions, that enable assisted disease screening / differential diagnosis for conditions such Build/integrate AI-ML models for treatment of malnutrition, hypertension
- Build predictive analytics models for Disease risk, enhanced monitoring & evaluation, learning, & clinical decision support
- Build and maintain data science pipelines and architectures that support efficient and scalable data processing, data analysis, and data modeling of electronic health records (EHRs) and other healthcare data sources
- Work closely with cross-functional teams to identify healthcare data and analytics requirements, and design and implement data-driven solutions that address clinical and business needs
- Evaluate and implement advanced technologies and frameworks that enable efficient and effective development of AI/ML and data science solutions in the healthcare domain
- Build Intelehealth’s Data Science & AI/ML team - by hiring the right talent & training/coaching
- Support the CEO to develop clear AI/ML strategy, innovation plans and timelines for execution
- Develop and maintain best practices and guidelines for data science, AI/ML development, and software engineering in the digital health domain
- Identify opportunities for automation, optimization and streamlining of data science and AI/ML workflows, and develop tools to support these efforts
REQUIREMENT SUMMARY
Min:4.0Max:9.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science, Engineering, Mathematics
Proficient
1
Bayern, Germany