LLM (Large Language Model) Analyst

IT Business Solutions; Selangor; On-site; MYR 40,000 - 80,000; Full time

Job summary

Join a forward-thinking technology firm as a vLLM Analyst, where you'll leverage your expertise in large language models like GPT and BERT. This role demands a unique blend of technical prowess, analytical skills, and collaborative spirit. You'll be responsible for evaluating model performance, fine-tuning algorithms, and ensuring ethical usage of AI technologies. With a focus on continuous learning and innovation, this position offers an exciting opportunity to contribute to cutting-edge projects while working alongside talented professionals. Enjoy a supportive work environment that values health benefits, flexible schedules, and career growth.

Benefits

Health Insurance

Maternity Leave

Parental Leave

Flexible Scheduling

Opportunities for Promotion

Holidays

Rotational Shifts

Qualifications

• Proficiency in Python and machine learning frameworks is essential.
• Strong analytical skills and problem-solving abilities are required.

Responsibilities

• Evaluate and fine-tune large language models for optimal performance.
• Collaborate with cross-functional teams to implement improvements.

Skills

Deep Technical Expertise

Proficiency with LLMs

Programming Skills

Model Evaluation & Fine-Tuning

Strong Analytical & Problem-Solving Skills

Data-Driven Insights

Troubleshooting Model Issues

Understanding of NLP Concepts

Text Processing & Preprocessing

Language Understanding

Attention to Detail & Accuracy in Analysis

Ethical Considerations

Cross-Functional Collaboration

Clear Communication

Adaptability & Continuous Learning

Staying Updated

Experimentation & Innovation

Project Management & Initiative

Autonomous Problem-Solving

Managing Deadlines

Tools

Python

TensorFlow

PyTorch

NumPy

pandas

Job description

vLLM (Very Large Language Model) Analyst

The role involves working with large-scale models like GPT, BERT, and similar advanced AI systems, requiring a blend of technical, analytical, and collaborative skills. Here is a summary of the key strengths for applicants:

1. Deep Technical Expertise
2. Proficiency with LLMs – Understanding of very large language models, their architecture (like transformers), training methods, and application areas.
3. Programming Skills – Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and data science libraries (e.g., NumPy, pandas).
4. Model Evaluation & Fine-Tuning – Ability to assess model performance and make adjustments to improve accuracy, efficiency, or ethical considerations.
5. Strong Analytical & Problem-Solving Skills
6. Data-Driven Insights – Proficient in extracting, cleaning, and analyzing large datasets to understand model behavior or improve training datasets.
7. Troubleshooting Model Issues – Identifying performance bottlenecks, biases, or errors in model outputs and proposing solutions.
8. Understanding of NLP Concepts
9. Text Processing & Preprocessing – Familiarity with tokenization, stemming, lemmatization, and other preprocessing techniques for data preparation.
10. Language Understanding – Expertise in how models process, understand, and generate human language.
11. Attention to Detail & Accuracy in Analysis
12. Ethical Considerations – Awareness of potential biases or fairness issues in large models, ensuring responsible usage and reporting.
13. Cross-Functional Collaboration – Ability to work with machine learning engineers, product teams, and other stakeholders to implement improvements and gather feedback.
14. Clear Communication – Explaining complex technical concepts and model behavior effectively to both technical and non-technical audiences.
15. Adaptability & Continuous Learning
16. Staying Updated – Keeping abreast of the latest trends, research, and breakthroughs in AI and NLP, especially for very large language models.
17. Experimentation & Innovation – Willingness to explore new techniques, model variations, or training methods for performance enhancement.
18. Project Management & Initiative
19. Autonomous Problem-Solving – Ability to independently drive projects from evaluation to proposing improvements.
20. Managing Deadlines – Ensuring timely delivery of insights, reports, or model enhancements while handling multiple priorities.

Additional benefits include health insurance, maternity and parental leave, opportunities for promotion, and flexible scheduling such as holidays and rotational shifts.

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ITCAN is a leading technology services and solutions provider based in Singapore, offering technical consulting, project management, and support tailored to client needs, emphasizing confidentiality and client involvement throughout projects.