summary

kuala lumpur, wilayah persekutuan
RM8,000 - RM14,000 per month
permanent

specialism
information technology
sub specialism
software engineering & development
reference number
91M0268242_8638281152993973707

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job details

As an AI Engineer, you will design, develop, and implement advanced technical solutions to solve complex business problems. You will work across the full lifecycle of AI development—from initial prototyping to production deployment—ensuring our systems are intelligent, scalable, and impactful. Collaborating with diverse technical teams, you will bridge the gap between data science research and software engineering. ...

Key Responsibilities

Model Engineering: Design and build robust machine learning models and algorithms tailored to organizational needs.
Data Pipeline Management: Process and refine large datasets from multiple sources to ensure high-quality inputs for model training.
Evaluation & Optimization: Train, test, and fine-tune models to ensure high performance, accuracy, and reliability.
System Integration: Deploy models into live environments and integrate them seamlessly with existing software architecture.
Performance Monitoring: Oversee models in production, performing regular updates and maintenance to mitigate drift and ensure long-term relevance.
Cross-Functional Collaboration: Partner with stakeholders and engineering teams to translate business requirements into technical specifications.
Continuous Innovation: Keep pace with emerging AI trends and methodologies to evolve the internal technology stack.

Qualifications

Core Requirements

Education: Degree in a quantitative field (e.g., Computer Science, Mathematics, or Engineering).
Professional Experience: Proven track record in a machine learning or data engineering role.
Software Proficiency: Strong coding skills in modern backend or data-centric programming languages.
Technical Frameworks: Hands-on experience with industry-standard machine learning libraries and toolkits.
Data Proficiency: Solid understanding of data structures, SQL, and large-scale data processing tools.
Analytical Mindset: Strong problem-solving skills with the ability to interpret complex data patterns.

Preferred Skills

Specialized Knowledge: Familiarity with Natural Language Processing (NLP), Computer Vision, or Recommendation Systems.
Infrastructure: Experience with cloud computing platforms and big data environments.
MLOps: Understanding of automated deployment pipelines and model versioning.

How to apply
Interested candidate can click on the appropriate link for CV submission. Alternatively, you could email rahool(dot)rohan@randstad(dot)com(dot)my for a confidential discussion

Key Responsibilities

Model Engineering: Design and build robust machine learning models and algorithms tailored to organizational needs.
Data Pipeline Management: Process and refine large datasets from multiple sources to ensure high-quality inputs for model training.
Evaluation & Optimization: Train, test, and fine-tune models to ensure high performance, accuracy, and reliability.
System Integration: Deploy models into live environments and integrate them seamlessly with existing software architecture.
Performance Monitoring: Oversee models in production, performing regular updates and maintenance to mitigate drift and ensure long-term relevance.
Cross-Functional Collaboration: Partner with stakeholders and engineering teams to translate business requirements into technical specifications.
Continuous Innovation: Keep pace with emerging AI trends and methodologies to evolve the internal technology stack.

Qualifications

Core Requirements

Education: Degree in a quantitative field (e.g., Computer Science, Mathematics, or Engineering).
Professional Experience: Proven track record in a machine learning or data engineering role.
Software Proficiency: Strong coding skills in modern backend or data-centric programming languages.
Technical Frameworks: Hands-on experience with industry-standard machine learning libraries and toolkits.
Data Proficiency: Solid understanding of data structures, SQL, and large-scale data processing tools.
Analytical Mindset: Strong problem-solving skills with the ability to interpret complex data patterns.

Preferred Skills

Specialized Knowledge: Familiarity with Natural Language Processing (NLP), Computer Vision, or Recommendation Systems.
Infrastructure: Experience with cloud computing platforms and big data environments.
MLOps: Understanding of automated deployment pipelines and model versioning.

How to apply
Interested candidate can click on the appropriate link for CV submission. Alternatively, you could email rahool(dot)rohan@randstad(dot)com(dot)my for a confidential discussion

experience
3 years
skills
Python, Java, Golang, ML, NLP, Pytorch, Tensorflow
qualifications
Diploma/Bachelors Degree
education
Bachelor Degree

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rahool rohan

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ai engineer [up to rm14k].

job details

Core Requirements

Preferred Skills

Core Requirements

Preferred Skills

experience

skills

qualifications

education

share this job.

the application process.

apply with randstad.

we’ll give you a call.

getting you registered.

compliance check.

reference and background check.

the perfect job for you.

the interview.

start your new job.

get in touch

rahool rohan

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