Experience Level
3-6 years of experience in Machine Learning, Predictive Analytics, or AI-driven application development.
Role and Responsibilities
You will be responsible for :
- Developing and deploying machine learning models to enhance features in HRMS, HMIS, and CMS applications.
- Designing and implementing predictive analytics algorithms for workforce management, healthcare insights, and content personalization.
- Collaborating with cross-functional teams to identify, prototype, and deploy innovative AI / ML solutions.
- Analyzing large datasets to uncover trends, correlations, and actionable insights relevant to HR, healthcare, and education sectors.
- Researching and proposing new technologies and methodologies to improve system efficiency and user experience.
- Presenting R&D findings during reviews and contributing to team knowledge sharing.
Qualifications and Skills
To excel in this role, you should have :
Educational Background : A bachelor's or master's degree in Computer Science, Data Science, or a related field.Technical Expertise :Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques.Experience with predictive modeling, recommendation systems, or anomaly detection.Knowledge of cloud platforms like AWS, Azure, or Google Cloud for deploying ML solutions.Domain Knowledge :Familiarity with HRMS, HMIS, or CMS systems is highly preferred.Ability to adapt ML solutions to domain-specific challenges in workforce analytics, patient care, or content management.Soft Skills :Strong analytical and problem-solving skills.Excellent communication skills for articulating complex solutions clearly.A self-starter with a passion for innovation and research.Why Join TH Systems?
Impactful Projects : Work on projects that transform HR, healthcare, and education industries.Innovative Environment : Collaborate with a team that values creativity and cutting-edge technology.Professional Growth : Opportunities for continuous learning and skill enhancement.Competitive Compensation : Attractive salary package with benefits.(ref : iimjobs.com)