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2,749

Facilities Management jobs in United States

[FRESH GRAD SEPT 2026 INTAKE] Engineer, Data Analytics Engineering

Sandisk

Batu Kawan
On-site
MYR 150,000 - 200,000
30+ days ago
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Global Process Control Engineer – MPC & Advanced Apps

Exxon Mobil

Kuala Lumpur
On-site
MYR 90,000 - 120,000
30+ days ago

Assistant Terminal Manager

Petron Malaysia

Port Dickson
On-site
MYR 100,000 - 150,000
30+ days ago

Assistant Terminal Manager

Petron Malaysia Refining & Marketing Bhd

Port Dickson
On-site
MYR 60,000 - 80,000
30+ days ago

Relationship Manager (Nationwide)

AFFIN Group

Mentakab
On-site
MYR 40,000 - 60,000
30+ days ago
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Relationship Manager (Nationwide)

AFFIN Group

Lahad Datu
On-site
MYR 50,000 - 80,000
30+ days ago

Civil & Structural Handyman: Building Repair & Maintenance

Genting Malaysia

Genting Highlands
On-site
MYR 25,000 - 35,000
30+ days ago

Laundry Attendant

Genting Malaysia

Genting Highlands
On-site
MYR 20,000 - 100,000
30+ days ago
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Purchasing Specialist | Senai

Hirehub Management Sdn. Bhd.

Kulai
On-site
MYR 100,000 - 150,000
30+ days ago

Maintenance Technician | Senai

Hirehub Management Sdn. Bhd.

Kulai
On-site
MYR 20,000 - 100,000
30+ days ago

Service Technician (Extrusion Blow Molding Machineries)

EPS Consultants

George Town
Remote
MYR 50,000 - 70,000
30+ days ago

Senior Chief Engineer - Data Center Operations Lead

Vantage Data Centers

Cyberjaya
On-site
MYR 80,000 - 120,000
30+ days ago

Tooling Manager | Senai

Hirehub Management Sdn. Bhd.

Kulai
On-site
MYR 150,000 - 200,000
30+ days ago

Relationship Manager (Nationwide)

AFFIN Group

Kota Bharu
On-site
MYR 60,000 - 80,000
30+ days ago

Relationship Manager (Nationwide)

AFFIN Group

Muar
On-site
MYR 100,000 - 150,000
30+ days ago

Relationship Manager (Nationwide)

AFFIN Group

Sandakan
On-site
MYR 100,000 - 150,000
30+ days ago

Relationship Manager (Nationwide)

AFFIN Group

Jitra
On-site
MYR 40,000 - 80,000
30+ days ago

Relationship Manager (Nationwide)

AFFIN Group

Kangar
On-site
MYR 50,000 - 70,000
30+ days ago

Relationship Manager (Nationwide)

AFFIN Group

Kuala Terengganu
On-site
MYR 60,000 - 80,000
30+ days ago

Assembly Operator | Iskandar Puteri

Hirehub Management Sdn. Bhd.

Iskandar Puteri
On-site
MYR 20,000 - 100,000
30+ days ago

Early Years Teacher

International School Partnership Careers

Kuala Lumpur
On-site
MYR 30,000 - 50,000
30+ days ago

Safety, Health & Maintenance Leader

Decathlon Malaysia

Gelang Patah
On-site
MYR 70,000 - 90,000
30+ days ago

Senior Facilities Operations Lead: Systems & Safety

Western Digital

Pasir Gudang
On-site
MYR 80,000 - 100,000
30+ days ago

Senior O&M Facilities Supervisor

Western Digital

Pasir Gudang
On-site
MYR 80,000 - 100,000
30+ days ago

Senior Lecturer - Special Education Needs

Taylor's Education Group

Subang Jaya
On-site
MYR 100,000 - 150,000
30+ days ago
[FRESH GRAD SEPT 2026 INTAKE] Engineer, Data Analytics Engineering
Sandisk
Batu Kawan
On-site
MYR 150,000 - 200,000
Full time
30+ days ago

Job summary

A global data solutions company located in Penang, Malaysia, is seeking a qualified individual to assist in designing NLP pipelines and experiment with LLM frameworks. The ideal candidate will hold a Bachelor's or Master's degree in a related field and has experience with programming in Python or R and database management. The company emphasizes a commitment to diversity and an inclusive environment.

Qualifications

  • Experience in programming languages like Python or R.
  • Knowledge in SQL for database management.
  • Ability to preprocess and clean text data for LLMs.

Responsibilities

  • Assist in designing NLP pipelines for various tasks.
  • Experiment with LLM frameworks to solve text processing problems.
  • Develop prompt engineering strategies to improve model performance.

Skills

Programming in Python
Data mining and analysis
Statistical techniques
Machine learning techniques
Analytic skills

Education

Bachelor's/master’s degree in computer science/Engineering, data science
Job description
Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Assist in the design and development of NLP pipelines for tasks like entity recognition, summarization, sentiment analysis, and question answering.
  • Preprocess and clean text data for training and evaluation of LLMs.
  • Experiment with state-of-the-art LLM frameworks (e.g., Hugging Face Transformers, OpenAI API, LangChain) to solve real-world text processing problems.
  • Support fine-tuning of pre-trained models on domain-specific datasets using techniques like LoRA, PEFT, or full model training.
  • Develop and maintain prompt engineering strategies for improving model performance.
  • Research and implement techniques for RAG (Retrieval-Augmented Generation) and context optimization.
  • Document experiments and present findings to the team.
Qualifications

REQUIRED:

  • Bachelor's/master’s degree in computer science/Engineering, data science or related field.
  • Experience in programming language (python, R) and database (SQL) to perform data mining and analysis.
Preferred
  • Knowledge of statistical techniques in data science (regression, properties of distribution).
  • Knowledge in machine learning techniques (neural network, machine learning).
  • Strong analytic skills and problem-solving skills.
Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES

Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email compliance@sandisk.com.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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