AI ML Engineer

Demonstrated experience in developing recommendation systems using machine learning and AI, preferably in a healthcare or related domain.

Requirements:

Experience: 
Demonstrated experience in developing recommendation systems using machine learning and AI, preferably in a healthcare or related domain.

Technical Proficiency: 
Strong programming skills in languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.

Data Handling Expertise: 
Proficient in data manipulation and analysis using tools such as Pandas, NumPy, and visualization libraries like Matplotlib or Seaborn.

Healthcare Knowledge: 
Familiarity with healthcare data types, privacy regulations (e.g., HIPAA), and the specific challenges associated with healthcare recommendations.

Problem-Solving Skills: 
Excellent analytical skills with the ability to address complex challenges and devise innovative solutions tailored to healthcare applications.

Communication Skills: 
Strong verbal and written communication abilities, with experience explaining technical concepts to both technical and non-technical stakeholders.

Educational Background: 
Degree in Computer Science, Data Science, Statistics, or a related field, or equivalent professional experience.

Preferred Qualifications:
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and deployment of machine learning models in a cloud environment.
Knowledge of big data technologies (e.g., Hadoop, Spark) and experience with large-scale healthcare data.
Previous experience working in a healthcare setting or with healthcare-related projects.