Total 293 process development engineer job vacancies in Education / Training category in Australia

About the client:

Our client is a reputed MNC

Responsibilities:

• Design multi‑agent systems for surveillance workflows using LangChain / LangGraph ,Crew AIor equivalent.
• Architect agentic RAG pipelines (hybrid retrieval, tool‑use, memory, policy control) with vector stores and knowledge graphs(neo4j or equivalent) for complex reasoning.
• Define semantic models (ontologies, entity/event schemas) and build knowledge graphs that connect trade, comms, user, and reference data.

Full‑Stack Development

• Build Python (FastAPI/Pydantic) microservices and REST/gRPC APIs that integrate LLM services, retrieval layers, and surveillance systems.
• Develop modern frontends and AI UIs using Streamlit/Gradio (and/or React if needed) for analyst workflows and explainable insights.
• Implement CI/CD pipelines, automated tests (unit/integration/load), and secure packaging/deployment across environments.

Data & RAG Engineering

• Design and operate high‑scale vector databases (Pinecone, Milvus, Weaviate) with optimal indexing strategies, chunking, embeddings, and TTL policies.
• Build data engineering pipelines for modeling, ingestion, feature extraction, and entity resolution across trades and communications.
• Construct semantic search and query planning for multi‑source reasoning.

LLMOps & Observability

• Implement LLM observability, evaluation, and monitoring (LangSmith, Arize Phoenix) including prompt/version tracking, drift detection, and error taxonomies.
• Define evaluation harnesses for faithfulness, toxicity, bias, hallucination, and task‑specific scoring (precision/recall for surveillance contexts).
• Optimize cost, latency, and reliability; benchmark OpenAI and OSS models (Llama 3, Mistral) for target tasks.

Must‑Have Qualifications

• Trade Surveillance domain experience deep familiarity with Market Abuse Regulation (MAR), FinCrime/AML, and Compliance use cases—e.g., spoofing, layering, front‑running, market manipulation, comms surveillance, alerting, and case management.
• GenAI / Agentic AI: Hands‑on with LLM integration & prompt engineering, agentic patterns, and RAG architecture end‑to‑end.

• Knowledge of vector databases and embedding strategies.

  Familiarity with LangChain / LangGraph or equivalent orchestration.

• ML : LLM post-training techniques, Custom Cuda kernels for specific architectures, Distributed training infrastructure

Skills/Requirement:

• Master’s in Computer Science, Software Engineering, Data Science, or related field (or equivalent practical experience).
• 9+ years in backend/full‑stack development with Python (FastAPI, Pydantic), strong system design, testing (pytest), and API design (REST/gRPC).
• Microservices, caching, message queues, CI/CD (GitHub Actions/GitLab/Azure DevOps), and secure coding practices.
• Multi Agent System Design & Orchestration
• Full Stack AI Integration (Frontend to Backend
• Multi Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
• Advanced Prompt Engineering & LLM Fine tuning, Agentic Retrieval Augmented Generation (RAG)
• Enterprise Application Integration & AI Orchestration
• Edio/Edgio & Render (Deployment & Hosting) or similar
• Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
• Data Engineering:
• Strong SQL/NoSQL schema design, and data modeling; building scalable ingestion and transformation pipelines (batch/streaming).
• Experience with PySpark and streaming data processing (e.g., Kafka or equivalent) and feature extraction for retrieval/graph enrichment.
• APIs & Microservices: Excellent understanding of RESTful APIs and microservices patterns.
• Security & Governance: Understanding of AI safety, guardrails, PII/PHI protection, and auditability in regulated environments.

Nice‑to‑Have Qualifications

• Frameworks/Tools:LlamaIndex, semantic routers, retrieval re‑rankers; LangSmith / Arize Phoenix for LLMOps.
• Cloud: Production experience with AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex.
• Containerization/Orchestration:Docker, Kubernetes.
• Open‑Source: Contributions to AI/RAG/agentic libraries. Search & Semantics: Semantic search principles, knowledge graph tooling (Neo4j/Neptune/TigerGraph), ontology/OWL/RDF familiarity.
• Languages: Rust (for high‑performance services) alongside Python.

Interested candidates, who wish to apply for the above position, please send in your resume to lakshmi.prasanna@persolapac.com

We regret to inform that only shortlisted candidates will be contacted

PERSOL Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1551772 (Kankanala Lakshmi Prasanna)

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This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolapac.com. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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Job Description: The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis design solutioning, conduct evaluation to build stat-of -the-art foundational models and develop use cases. Strong problem solving, coding and communications skills are expected.

  Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 2 years of experience
  - Proficient programming skills, familiarity with Linux
  - Familiar with LLM training framework
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description: The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis design solutioning, conduct evaluation to build stat-of -the-art foundational models and develop use cases. Strong problem solving, coding and communications skills are expected.

  Job Requirement:

  - MSc in ML, NLP, background in speech, national language understanding
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux
  - Familiar with LLM training framework
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Work on hands-on experiments for few of the following tasks:
1. Design, Simulation, and Fabrication of Piezoelectric MEMS resonators; filters and sensors 
2. Design, modelling and testing of neural networks aiming for human-machine-interface
3.Write 1 or more research papers based on derived data of the above devices in the first year in the top-notch journals
4.Supporting and guiding the experiments of FYP students

Qualifications

1. Have learned Piezoelectric MEMS resonators; filters and sensors related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 2 years and more experience in making and testing MEMS devices
4. With 1 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS; 
6. Fluent in English speaking and writing
7. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Work on hands-on experiments for few of the following tasks:
1. Design, Simulation, and Fabrication of Piezoelectric MEMS filters and Si Photonics 
2. Design, modelling and testing of photonic neural networks (PNN) aiming for human-machine-interface
3.Write 1 or more research papers based on derived data of the above devices in the first year in the top-notch journals
4.Supporting and guiding the experiments of FYP students

Qualifications

1. Have learned MEMS, RF filters or Si Photonics related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 2 years and more experience in making and testing MEMS devices
4. With 1 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS; 
6. Fluent in English speaking and writing
7. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)

Our client is a leading player in construction industry. They are looking for a Learning & Development Executive to join their HR Team, in hopes of developing the current high performing team. They are located in the North area.

Duties of Learning & Development Executive:

• Identify learning needs and develop training plans with business units.

• Manage end-to-end L&D activities, including coordination, evaluation, grants, and vendor payments.

• Analyse training data to support decision-making.

• Support succession planning and talent development initiatives.

• Oversee internships, attachments, scholarships, and onboarding programmes.

• Ensure compliance for training grants and maintain accurate training records.

• Handle training-related audits, surveys, and ad hoc HR projects.

Requirements:

• Diploma / Degree in Human Resource Management or related

• Min 2 - 3 years experience of training administration/ L&D experience

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Role Overview

We are seeking an experienced Special Education Teacher who can integrate seamlessly into our multidisciplinary team and make an immediate instructional impact. Reporting to the Team Leader for Education, the successful candidate will be responsible for teaching children with learning difficulties, addressing both behavioural and academic needs, and delivering high-quality education aligned with the organisation’s philosophy, standards, and guidelines.

Key Responsibilities

1. Programme Delivery & Implementation

• Deliver educational programmes in accordance with the organisation’s philosophy, curriculum framework, and established guidelines.

2. Student Assessment & Progress Monitoring

• Conduct periodic assessments to evaluate student progress and ensure alignment with agreed learning objectives.

• Use assessment data to inform instructional planning and intervention strategies.

3. Professional Practice & Standards

• Execute all teaching and related duties professionally and in compliance with organisational policies and ethical standards.

4. Feedback, Communication & Collaboration

• Provide timely and constructive feedback to the Director for Education and parents regarding student progress, challenges, and learning outcomes.

• Collaborate with management and colleagues to improve instructional practices and operational processes.

5. Teaching Materials & Lesson Documentation

• Develop and customise teaching materials tailored to each student’s individual goals and learning needs.

• Document lesson plans, teaching strategies, and student outcomes after each session.

6. Individualised Education Plans (IEPs)

• Design, implement, and review Individualised Education Plans (IEPs) for each student.

• Ensure IEP goals are measurable, achievable, and reviewed regularly.

7. Documentation & Records Management

• Maintain accurate, organised, and up-to-date documentation of all student-related records, assessments, and reports.

8. Research & Professional Development

• Contribute to research initiatives and continuous improvement of teaching methodologies and intervention strategies.

• Stay informed of evidence-based practices in special education.

Technical Skills & Core Competencies

1. Teaching & Behaviour Management

• Demonstrated competence in implementing instructional and behavioural management strategies for children with learning difficulties.

2. Parent Engagement & Problem-Solving

• Strong ability to communicate effectively with parents, address concerns, and collaborate on strategies to support the child’s development.

3. Application of Psychological and Educational Theories

• Ability to apply relevant psychological and educational theories to practical teaching and intervention contexts.

Qualifications & Experience

• Minimum Experience: At least 2 years of experience in Special Education or a related field.

• Traineeship Pathway:

  • Candidates without prior experience, including fresh graduates and A-level students, may apply for a 6-month competency-based traineeship programme, with the opportunity to transition into a full-time role upon successful completion.

Why Join Us

If you are passionate about making a meaningful difference in the lives of children with learning difficulties and are committed to delivering high-quality, evidence-based education, we welcome your application.

Role:

Conduct exploratory and applicative research in the development of new chemistry for precision cleaning, coating materials and processes.

Involve the optimization of precision cleaning, coatings and assist the process development, product trials, scale ups & trouble shooting, and failure analysis.

Responsibilities:

• Work with Engineers in the development of new chemistry, coating products and processes.
• Optimize the coating materials, formulations, processes, and products.
• Perform complex processing experiments, and / or lead the projects / studies.
• Adapt to new technologies, new designs of experiments and new laboratory techniques.
• Write experimental results and technical reports and present at group and R&D meeting.
• Interface with other Coating team personnel as well as global R&D Departments, Engineering, Production, laboratories, vendors, etc.
• Being responsible for internal technical support and external technical cooperation.
• Being responsible for the development and innovation of products, creating and implementing the POR, the standardization and quantitative management of the team.
• Doing technical analysis and quality analysis regularly, being responsible for avoiding and remedying the mistakes of products and guiding the supervision of unqualified products.
• Strong business partnering, influencing, communication, stakeholder alignment, people management skills.
• Any other duties as assigned

Requirements:

• Diploma or Degree in Mechanical / Material Engineering
• 1 year of working experience in production environment
• On job training includes 1 year attachment in Production line.
• Innovation mind & strong interest in laboratory work and passionate for innovation
• Initiative, good analytical skills & good report writing skills.
• Self-motivated team player and able to work with minimum supervision
• Good communication and interpersonal skills, able to work efficiently in a multi-cultural environment.
• Demonstrates excellent verbal and written communication skills in English and Mandarin will be an added advantage in order to liaise with associates.
• Required to travel overseas on business needs.