Job Title: Data Scientist / Machine Learning Engineer / AI Researcher
Employment Type: Part-Time / Full-Time / Hybrid
Location: Singapore
Company: Indian Industrial Tutorial
About the Company:
Indian Industrial Tutorial is a Singapore-based technology company focused on delivering data-driven solutions, industrial analytics, and AI research to optimize operations and innovation across sectors. We combine advanced analytics, machine learning, and AI research to solve complex industrial challenges.
Role Overview:
We are seeking a highly skilled Data Scientist to develop machine learning models, conduct AI research, and generate actionable insights from complex datasets. The ideal candidate will have strong analytical skills, experience in AI/ML pipelines, and the ability to collaborate across technical and industrial teams.
Key Responsibilities:
- Design, develop, and deploy machine learning models and AI algorithms.
- Analyze large datasets to extract insights, identify patterns, and inform decision-making.
- Collaborate with cross-functional teams to integrate AI solutions into industrial applications.
- Conduct research on emerging AI/ML techniques and implement them to enhance company solutions.
- Prepare technical documentation, reports, and presentations for internal and external stakeholders.
- Monitor model performance and maintain AI systems to ensure accuracy and reliability.
- Stay updated with AI/ML trends, tools, and industry best practices.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related fields.
- Proven experience in machine learning, AI research, or data analytics.
- Proficiency in Python, R, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong problem-solving, analytical, and communication skills.
- Ability to work in part-time, full-time, or hybrid arrangements.
Preferred Skills:
- Experience with deep learning, natural language processing, or computer vision applications.
- Knowledge of cloud platforms (AWS, Azure, GCP) for ML/AI deployment.
- Familiarity with industrial or manufacturing datasets and applications.
Why Indian Industrial Tutorial
- Flexible working arrangements (part-time/full-time/hybrid).
- Opportunity to contribute to cutting-edge AI research and industrial solutions.
- Collaborative environment fostering innovation, learning, and practical AI applications.
