AI / Machine Learning Engineer
Remote, contract/project-based AI/ML engineer role at Neural Career Network, a career and recruitment platform. You'd prototype AI features for CV intelligence, job matching, structured extraction and recommendations, evaluating models and optimising LLM inference (Python, LLMs, NLP, embeddings).
- Compensation
- Not disclosed
- Location
- Kuala Lumpur
- Work setup
- Remote
- Seniority
- Middle
- Employment
- Contract
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Strong Python skills and practical experience with machine learning or applied AI
- Understanding of model evaluation, data preparation and production inference concepts
- Experience with LLMs, NLP, embeddings, ranking or recommendation systems
- Ability to reason about accuracy, latency, memory, privacy and system trade-offs
- Strong communication and collaboration skills
- Ability to work independently in a remote environment
- Professional, responsible approach to commitments and deadlines
Nice to have
- Experience with Hugging Face, llama.cpp, vLLM or related open-source inference stacks
- Experience with quantisation, retrieval-augmented generation or vector databases
- Experience creating evaluation pipelines for generative AI systems
Full description
AI / Machine Learning EngineerAbout Neural Career Network
Neural Career Network is a technology-driven career and recruitment platform building modern solutions for candidates, professionals and employers. We combine career technology, AI-assisted tools and intelligent recruitment workflows to help people build stronger professional profiles, create ATS-ready CVs, discover relevant opportunities and connect with employers more effectively.
Opportunity OverviewRole
AI / Machine Learning Engineer
Work Arrangement
Worldwide Remote
Engagement
Contract / Project-Based / Hourly / Flexible
Experience Level
Junior / Mid-Level / Senior - depending on project
Availability
Upcoming Projects & Future Opportunities
About the Role
Contribute to AI capabilities that support career guidance, CV intelligence, matching, structured extraction, recommendations and recruitment workflows. The role may involve model evaluation, inference optimisation, prompt and structured-output design, retrieval workflows and applied machine learning.
As a AI / Machine Learning Engineer, you may contribute to different areas of the Neural Career Network ecosystem depending on your experience, interests and the requirements of upcoming projects. Specific responsibilities, scope, deliverables, duration and engagement terms will be communicated when a suitable opportunity becomes available.
What You May Work On
- Prototype and improve AI/ML features for career and recruitment use cases.
- Evaluate models for quality, latency, memory use, cost and reliability.
- Design structured extraction, ranking, recommendation and classification workflows.
- Support model serving, experimentation, evaluation datasets and monitoring.
- Collaborate with application developers to integrate AI features into production systems.
What We're Looking For
Strong Python skills and practical experience with machine learning or applied AI.
Understanding of model evaluation, data preparation and production inference concepts.
Experience with LLMs, NLP, embeddings, ranking or recommendation systems.
Ability to reason about accuracy, latency, memory, privacy and system trade-offs.
Strong communication and collaboration skills.
Ability to work independently in a remote environment.
Professional, responsible approach to commitments and deadlines.