Total 717 data entry job vacancies in Others category

As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and novel solution development activities.

Key Responsibilities

• Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, including experience with RGB-D cameras and vision inspection systems for volume/density measurement and component verification.

• Develop and deploy deep learning models (CNNs, LSTM, transformer-based architectures) for tasks such as image classification, time-series anomaly detection, and multimodal sentiment analysis, leveraging frameworks like TensorFlow, PyTorch, and Keras.

• Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.

• Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platforms (AWS, GCP), and sensor networks, applying rigorous outlier detection and missing data handling.

• Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools (Python, Spotfire, Power Automate).

• Coordinate production deployment activities using MLOps best practices (MLflow, Apache Airflow), including model monitoring, data drift detection, versioning, and automated testing.

• Contribute to research and innovation through published patents, peer-reviewed papers, or presentations at top-tier conferences (e.g., IJCNN, CVPR, NeurIPS), and demonstrate ability to translate research into practical solutions.

• Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders.

Required Qualifications

• Ph.D. or Master’s degree in Computer Science, Data Science or AI.

• Minimum 2 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.

Or

• Bachelor’s degree in Computer Science, Data Science or AI.

• Minimum 3 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.

Required Technical Experience

• Computer Vision: At least 2 years of working experience in designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection using OpenCV, YOLO, and RGB-D cameras.

• Deep Learning & AI: At least 2 years of working experience with deep learning frameworks (TensorFlow, PyTorch, Keras), including CNNs, LSTM, transformer models, and generative AI.

• Multimodal Analysis: Proven ability to work with multimodal datasets (text, image, time-series), including sentiment analysis and fusion of multiple data types.

• Programming & Data Engineering: Strong Python programming skills; at least 2-years’ working experience with SQL, Java, C++, and cloud platforms (AWS, GCP); familiarity with distributed computing frameworks (Spark, Hadoop).

• MLOps & Deployment: Experience with MLflow, Apache Airflow, Docker, and Git for robust model deployment and monitoring in production environments.

• Visualization & Communication: At least 2 years of working experience in visualization tools (Dash, Plotly, Spotfire, PowerBI) and technical writing for documentation and training.

Required Soft Skills

• In working or research environment consistently demonstrated analytical and problem-solving skills, with a data-driven and research-oriented mindset for at least 2 years.

• Effective communicator and collaborator, with experience in cross-functional project management and training.

• Proven ability with at least 1-year working experience to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.

• proven track record of commitment to quality, continuous improvement, and adaptability in manufacturing settings.

Preferred Experience

• Prior experience in the semiconductor industry (e.g., Intel, STMicroelectronics) or electronics manufacturing.

• Hands-on involvement in integrating computer vision or NLP solutions into production systems.

• Contributions to patents, peer-reviewed publications, or top-tier conferences (IJCNN, CVPR, NeurIPS).

• Experience with large language models (LLMs), multimodal sentiment analysis, or generative AI.

• Professional training or teaching experience in data science or AI topics.
  
  Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Requirements:

• Excellent ethics and positive learning attitude
• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)
• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm
• Lead and drives a team towards a common goal
• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system
• Performance based
• BUSINESS ADVANCEMENT
• Highly motivated, FUN and FAMILY-liked environment
• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE! We regret to inform you that only shortlisted candidate will be notified.

Our client is a provides temperature-controlled logistics. Due to their current expansion plan, they are looking for Logistic Coordinator to join their team, in hopes of developing the current high performing team. They are located in East.

• Salary: $2,500 -$2,800 + AWS
• Location: East (Tampines Industrial Crescent)
• Mon to Fri 9AM - 5PM

Job Responsibilities:

• Interpret customer requirements and execute operational activities for both new and ongoing project
• Process shipment requests to support new and existing project requirements
• Carry out secondary packaging and product labeling activities
• Liaise with customers regarding new shipment arrangements and booking coordination
• Coordinate communication between the dispatch team, drivers, and agents to support critical global pick-up and delivery operations, including warehouse packing and pallet preparation to ensure accuracy and efficiency
• Manage and maintain complete project documentation for both new and ongoing assignments
• Ensure all project responsibilities and procedures are strictly followed and compliant with established standards

Requirements:

• Entry Level position and training provided
  

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 candidate will be notified.

Email: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R25157233 (Loh Pooi Keng)

About Royal Org

Royal Org is a fast-growing outsourced sales and marketing company specializing in brand and marketing.

We partner with clients across industries, including lifestyle, energy, NGOs and FMCG, to boost brand awareness and drive measurable results!

Why Join Us

• Clear and fast career progression

• ⁠Supportive, dynamic, and ambitious team culture

• ⁠Comprehensive training and 1-to-1 mentorship provided

• ⁠Team events and travel opportunities

• ⁠No prior experience needed

What You’ll Do

• Represent major brands through in-person marketing campaigns

• ⁠Engage customers and build strong relationships

• ⁠Collaborate with your team to grow together

• ⁠Learn and implement effective sales and marketing strategies

At Royal Org, we value passion, professionalism, and potential.

If you’re driven to learn, grow, and achieve, apply now to start your career with us!

(Only shortlisted candidates will be contacted.)

Requirements:

• Excellent ethics and positive learning attitude
• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)
• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm
• Lead and drives a team towards a common goal
• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system
• Performance based
• BUSINESS ADVANCEMENT
• Highly motivated, FUN and FAMILY-liked environment
• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE! We regret to inform you that only shortlisted candidate will be notified.

Legal & Documentation Responsibilities (Key Focus Area)

 Review treasury-related legal documents — including banking agreements, trade finance instruments, KYC packages, Board Resolutions, and CRS/FATCA forms, to identify potential risks, obligations, and operational impacts.

 Highlight key clauses, propose amendments, and escalate potential legal or contractual issues to the internal Legal team for further review.

 Prepare, coordinate, and manage global banking documentation, including bank account opening, closing, mandate updates, and signatory changes.

 Support global bank guarantee applications and ensure all supporting documents meet legal and compliance requirements.

 Maintain the master list of authorized signatories and ensure timely updates with banks and e-banking platforms across all global entities.

 Prepare and distribute annual confirmations of bank accounts and bank guarantees, ensuring documentation completeness and compliance alignment.

 Ensure proper documentation management, data archiving, and adherence to internal control standards and regulatory requirements.

Treasury Operations & System Responsibilities

 Maintain and update bank account data, structures, and cash-pooling configurations within the Treasury Management System (TMS).

 Ensure accurate, timely recording of trade finance transactions, FX deals, and intercompany loans in TMS and SAP.

 Administer and maintain treasury-related systems (e.g., TMS, SAP S/4HANA, and e-banking platforms).

 Provide system support, troubleshooting, and end-user assistance to internal stakeholders.

 Ensure secure banking connectivity and compliance with payment security, data protection, and internal control requirements.

Strategic & Project Support

 Support M&A activities by integrating newly acquired entities into treasury systems and managing Treasury separation for divested entities, including related documentation.

 Identify opportunities to enhance, automate, and digitalize treasury processes and documentation workflows.

 Provide general administrative and operational support to ensure smooth Treasury Middle Office operations.

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted