AI / Machine Learning Engineer

AI / Machine Learning Engineer

About 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 Overview

Role

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.

The Kind of People We Want to Work With

Technical ability matters, but we also value attitude, reliability and willingness to grow. We are especially interested in people who take ownership, communicate openly, learn quickly, solve problems proactively, accept constructive feedback, care about quality and work respectfully with people from different countries and backgrounds. You do not need to know everything. For many opportunities, a strong foundation, positive attitude and genuine willingness to improve can be more valuable than matching every keyword in a job description.

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.

Apply Through Neural Career Network

Candidates interested in current and upcoming opportunities are encouraged to create a free profile through Neural Career Network.

neuralcareernetwork.com

 Upload your existing CV or create a new professional CV.

 Use the free CV builder to organise and improve your application.

 Build your candidate profile and keep your experience and skills up to date.

 Apply for relevant opportunities and, if you choose, remain available for suitable future opportunities.

Creating a Neural Career Network profile helps us review your experience, skills and professional background in a more structured way when suitable opportunities become available. Creating a profile or account not automatically result in employment, an interview or selection for a particular project.

How We May Work Together

 Project-based contracts or defined deliverable work.

 Hourly or flexible engagements where appropriate.

 Short-, medium- or longer-term remote assignments.

 Specialist consulting or future permanent opportunities where applicable.

Before any engagement begins, relevant information such as project scope, responsibilities, expected deliverables, working arrangements, duration and compensation will be discussed with selected candidates.

Equal Opportunity

Neural Career Network welcomes expressions of interest from qualified professionals around the world. Candidate evaluation for individual projects is based on relevant skills, experience, project requirements and suitability for the opportunity.

Build Your Profile. Strengthen Your CV. Discover Opportunities.

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