Total 6 job vacancies by ANHSIN TECHNOLOGY SDN BHD

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• Familiarity with programming languages such as Python or R
• Basic understanding of data analysis and visualisation tools such as Tableau, Power BI, or equivalent
• Knowledge of fundamental machine learning concepts like linear regression, decision trees, random forests, or neural networks
• Strong analytical thinking and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment
• Good communication and collaboration skills

Preferred Skills (but not mandatory)

• Hands-on experience with data projects, internships, or coursework in data science, machine learning, or AI
• Familiarity with big data tools and frameworks like Hadoop, Spark, etc.

Responsibilities

• Assist in analysing large datasets to uncover trends and generate insights
• Contribute to the design and development of machine learning algorithms
• Support the creation of predictive models and perform exploratory data analysis
• Collaborate with cross-functional teams to understand business challenges and help develop data-driven solutions
• Present findings and insights to both technical and non-technical stakeholders
• Stay up-to-date with the latest developments in data science and machine learning, applying new techniques to real-world projects

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system

Key Responsibilities

• Assist in the design and development of scalable and efficient AI systems.
• Help implement and maintain data architectures that support AI models and solutions.
• Support the development and optimization of data processing systems and workflows.
• Collaborate with AI engineers and data scientists to develop machine learning models.
• Contribute to creating and managing databases and ETL pipelines for data ingestion and transformation.
• Assist in ensuring data quality and integrity throughout the data lifecycle.
• Participate in building and maintaining data warehouses for AI-related analysis and reporting.
• Troubleshoot and resolve basic AI and data-related issues under supervision.
• Work with cross-functional teams, including AI engineers, data scientists, data analysts, and software engineers.
• Support the team in following data security measures and compliance standards.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• Familiarity with data management, data processing, or database systems.
• Basic understanding of programming languages such as Python, Java, or JavaScript.
• Some experience or coursework in AI, machine learning, or data engineering is preferred.
• Strong problem-solving skills and a desire to learn in a fast-paced, collaborative environment.
• Good communication skills in English; Mandarin proficiency is a plus for interacting with Mandarin-speaking clients.

Nice to Have

• Basic exposure to machine learning concepts and techniques.
• Familiarity with SQL and ETL tools like Apache Airflow or Dagster.
• Some experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
• Understanding of Big Data technologies (Hadoop, Spark) and streaming data platforms (Apache Kafka)

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• Familiarity with programming languages such as Python or R
• Basic understanding of data analysis and visualisation tools such as Tableau, Power BI, or equivalent
• Knowledge of fundamental machine learning concepts like linear regression, decision trees, random forests, or neural networks
• Strong analytical thinking and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment
• Good communication and collaboration skills

Preferred Skills (but not mandatory)

• Hands-on experience with data projects, internships, or coursework in data science, machine learning, or AI
• Familiarity with big data tools and frameworks like Hadoop, Spark, etc.

Responsibilities

• Assist in analysing large datasets to uncover trends and generate insights
• Contribute to the design and development of machine learning algorithms
• Support the creation of predictive models and perform exploratory data analysis
• Collaborate with cross-functional teams to understand business challenges and help develop data-driven solutions
• Present findings and insights to both technical and non-technical stakeholders
• Stay up-to-date with the latest developments in data science and machine learning, applying new techniques to real-world projects

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system

Key Responsibilities

• Assist in the design and development of scalable and efficient AI systems.
• Help implement and maintain data architectures that support AI models and solutions.
• Support the development and optimization of data processing systems and workflows.
• Collaborate with AI engineers and data scientists to develop machine learning models.
• Contribute to creating and managing databases and ETL pipelines for data ingestion and transformation.
• Assist in ensuring data quality and integrity throughout the data lifecycle.
• Participate in building and maintaining data warehouses for AI-related analysis and reporting.
• Troubleshoot and resolve basic AI and data-related issues under supervision.
• Work with cross-functional teams, including AI engineers, data scientists, data analysts, and software engineers.
• Support the team in following data security measures and compliance standards.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• Familiarity with data management, data processing, or database systems.
• Basic understanding of programming languages such as Python, Java, or JavaScript.
• Some experience or coursework in AI, machine learning, or data engineering is preferred.
• Strong problem-solving skills and a desire to learn in a fast-paced, collaborative environment.
• Good communication skills in English; Mandarin proficiency is a plus for interacting with Mandarin-speaking clients.

Nice to Have

• Basic exposure to machine learning concepts and techniques.
• Familiarity with SQL and ETL tools like Apache Airflow or Dagster.
• Some experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
• Understanding of Big Data technologies (Hadoop, Spark) and streaming data platforms (Apache Kafka).

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related fields.
• Familiarity with programming languages such as Python and JavaScript.
• Basic understanding of frameworks like Node.js, Django, and front-end technologies such as HTML, CSS, and JavaScript (React, Angular, or Vue.js).
• Exposure to databases, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Firebase).
• Strong problem-solving skills, teamwork, and communication skills.
• Interest in learning how to communicate technical concepts effectively to non-technical audiences.

Nice to Have

• Hands-on experience from coursework, projects, or previous internships in AI development.
• Familiarity with system integration and scalable software development.
• Strong presentation and documentation skills.

Key Responsibilities

• Assist in developing AI-powered applications, working on both front-end interfaces and back-end logic.
• Collaborate with cross-functional teams, including data scientists, designers, and other developers, to integrate AI technologies into applications.
• Contribute to building scalable, secure, and performance-optimized software solutions.
• Participate in brainstorming sessions to create innovative, data-driven solutions that leverage artificial intelligence and machine learning.
• Support the team in ensuring seamless AI model integration, and help maintain the overall performance of the applications.
• Gain exposure to global and local AI platforms and projects, learning how to meet diverse market requirements.

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related fields.
• Familiarity with programming languages such as Python and JavaScript.
• Basic understanding of frameworks like Node.js, Django, and front-end technologies such as HTML, CSS, and JavaScript (React, Angular, or Vue.js).
• Exposure to databases, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Firebase).
• Strong problem-solving skills, teamwork, and communication skills.
• Interest in learning how to communicate technical concepts effectively to non-technical audiences.

Nice to Have

• Hands-on experience from coursework, projects, or previous internships in AI development.
• Familiarity with system integration and scalable software development.
• Strong presentation and documentation skills.

Key Responsibilities

• Assist in developing AI-powered applications, working on both front-end interfaces and back-end logic.
• Collaborate with cross-functional teams, including data scientists, designers, and other developers, to integrate AI technologies into applications.
• Contribute to building scalable, secure, and performance-optimized software solutions.
• Participate in brainstorming sessions to create innovative, data-driven solutions that leverage artificial intelligence and machine learning.
• Support the team in ensuring seamless AI model integration, and help maintain the overall performance of the applications.
• Gain exposure to global and local AI platforms and projects, learning how to meet diverse market requirements.

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system