Team Lead - Machine Learning/Artificial Intelligence

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.