Data & AI Engineer - Entry Level

techstreet; Petaling Jaya; Vor Ort; MYR 60.000 - 90.000; Vollzeit

Zusammenfassung

techstreet in Malaysia is launching a role focused on real-world Data & AI initiatives. Fresh graduates and early-career professionals are welcome.

You’ll work on data engineering, integration, transformation, and pipeline development, while developing Generative AI, LLMs, and RAG applications. You will build AI agents, automate workflows, and develop Python-based AI/ML applications, collaborating with teams on databases, APIs, and system integration across cloud, on-premises, and hybrid

Qualifikationen

• Strong programming fundamentals, preferably Python.
• Exposure to relational or NoSQL databases and data management technologies.
• Understanding of data engineering, integration, and processing concepts.
• Familiarity with APIs, application development, and software engineering practices.
• Foundational knowledge of AI/ML and emerging Generative AI technologies.
• Strong analytical thinking, curiosity, and problem-solving capabilities.
• Experience with AI frameworks, vector databases, cloud platforms, automation tools, or open-source technologies is an added advantage.

Aufgaben

• Work on data engineering, integration, transformation, and pipeline development.
• Develop Generative AI, Large Language Models (LLMs), and RAG applications.
• Build AI agents and intelligent workflow automation.
• Develop Python-based AI/ML applications and backend solutions.
• Work with database technologies, APIs, and enterprise system integration.
• Support cloud, on-premises, and hybrid AI platform environments.
• Contribute to AI deployment, optimisation, and MLOps practices.

Kenntnisse

Python

Data Science / Machine Learning

Database (SQL / NoSQL)

Jobbeschreibung

This is an opportunity to work on real-world Data & AI initiatives, from building scalable data solutions to developing intelligent applications, AI workloads, and automation capabilities. Fresh graduates and early-career professionals are welcome. You don't need to have mastered every technology listed. What matters is your ability to understand problems, write good code, explore new technologies, and turn ideas into working solutions.

Key responsibilities

• Work on data engineering, integration, transformation, and pipeline development.
• Develop Generative AI, Large Language Models (LLMs), and RAG applications.
• Build AI agents and intelligent workflow automation.
• Develop Python-based AI/ML applications and backend solutions.
• Work with database technologies, APIs, and enterprise system integration.
• Support cloud, on-premises, and hybrid AI platform environments.
• Contribute to AI deployment, optimisation, and MLOps practices.

About you

• Strong programming fundamentals, preferably Python.
• Exposure to relational or NoSQL databases and data management technologies.
• Understanding of data engineering, integration, and processing concepts.
• Familiarity with APIs, application development, and software engineering practices.
• Foundational knowledge of AI/ML and emerging Generative AI technologies.
• Strong analytical thinking, curiosity, and problem-solving capabilities.
• Experience with AI frameworks, vector databases, cloud platforms, automation tools, or open-source technologies is an added advantage.

Required Skills

• Python
• Data Science / Machine Learning
• Database (SQL / NoSQL)