Responsibilities

• Architect and/or review technical solutions for the deployment of AI models, along with the data pipelines and visualization interfaces
• Utilize devOps tools and automate model deployment / tuning via orchestration
• Provide guidance for maintenance, support and enhancements to model deployment platforms
• Analyze, design and develop test for model deployment and automation
• Design and implement API interfaces
• Set up Continuous Integration / Continuous Deployment pipeline
• Work with Data Scientists on understanding and enhancing data models for deployment
• Liaise with Data Engineers on the requirements for each data sources, understand the ETL required
• Work with DBA to manage the DB servers
• Work with Cloud infra engineers for on-boarding to AWS and MS Azure

Requirements

• Practical experience of software engineering or software development experience in making AI/ML models production ready.
• Understanding of programming language such as Python, R and SQL
• Foundational knowledge of Cloud computing and infrastructure setup, data pipeline, data engineering and data pre-processing
• Foundational knowledge of data visualization tools such as Tableau, Qlik Sense, Power BI
• Agile and Scrum experience is preferred
• Practical experience of software engineering or software development experience in making AI/ML models production ready , experience in developing, implementing and maintaining IT systems

A data architect with Exp of 8-9 Yrs + to designs and creates data systems, databases, and structures to organize and store data effectively. He must be having good Business understanding of data model designing (Conceptual Data Model, Logical Data Model , Physical Data Model) of new aged digital implementations based on Microservices and Be Spoke Application. He must be versed with agile implementation of Data modeling. He must have working exp in implementation IT Project as Data Architect . He must be able to collaborate with IT teams, analyze business needs, and ensure data solutions align with Project phase goals. Responsibilities include data modeling, defining database architecture, optimizing data retrieval, and ensuring data security. Strong knowledge of AWS Postgres database technologies, data warehousing, Data security and data governance is essential for this role. Also Good to have working exp as Data Architect in SG Gov Sector in IT Project.

Key Responsibilities

• Liaise closely with customers and operations team on order fulfillment, inventory & shipment related activities
• Working closely with operations team to provide information/ feedbacks to customers on operational issues and co-ordinate with customers to resolve all issues
• Generate KPIs and transactional reports to internal and external customers on a timely basis
• Verify vendor invoices and liaise with vendor for any discrepancies
• Monitor the usage of warehouse supplies and raise POs for replenishment
• Coordinate the urgent order fulfillment with customer, operations and transporter
• Ensure the accuracy and timely update of system transactions
• Perform other required duties or task when assigned
• Maintain compliance with all company policies and procedures
• Any other duties as assigned by manager from time to time

We are looking for

• Diploma or Degree in Business Studies/Administration/Management, Logistics/Transportation or equivalent
• At least 1 year of relevant working experience in the logistics industry preferred
• Computer proficiency (MS Office – Word, Excel and Outlook) & Warehouse Management System (WMS) / Exceed System
• Good verbal and written communication skills, including ability to effectively communicate with internal and external customers
• Must be able to work as part of a team in a fast paced environment
• Positive Attitude and Good Team Player
• Able to work on night shift pattern at 4334 (8:30pm to 8:30am)
• Able to support overtime during offday/peak season

Job Highlights

• Career Progression
• Sign-On & Retention Bonus
• Shift pattern 4334 (8:30pm to 8:30am)
• Transport Pick-up at Jurong East

• Up to $2600, Permanent Role with AWS
• Monday to Friday 9am to 6pm
• West, Walking Distance from MRT Station
• Entry Level for NITEC / Diploma in Maritime

Responsibilities:

• Collaborate closely with the yard team to ensure smooth deliveries, shipments, and secure storage of all stock within the warehouse.
• Conduct verification of incoming and outgoing shipments, ensuring compliance with purchase order specifications and contract documents.
• Prepare items for dispatch to clients using delivery documentation or delivery notes.
• Inspect the physical condition of the storage area, materials, and equipment to maintain high standards.
• Conduct physical inventories when required, in collaboration with the Financial Controller.
• Prepare discrepancy reports for items not in compliance with specified requirements.
• Support other departments by performing assigned duties as needed.
• Maintain a clean and presentable warehouse environment, assisting the Asst. Yard Manager in this regard.
• Adhere to the company's policies, objectives, and quality management system.

Requirements:

• NITEC/Diploma in Maritime Engineering.
• Ability to operate a forklift and other heavy equipment, with a commitment to obtaining safety certifications for their operation.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Role and Responsibilities

• Meeting with the development team to assess the company’s big data infrastructure.
• Designing and coding hadoop applications to analyze data collections.
• Creating data processing frameworks.
• Extracting data and isolating data clusters.
• Testing scripts and analyzing results.
• Troubleshooting application bugs.
• Maintaining the security of company data.
• Creating data tracking programs.
• Producing Hadoop development documentation.
• Training staff on application use.

Requirements and Skills

• Previous experience as a Hadoop developer or big data engineer.
• Advanced knowledge of the Hadoop ecosystem and its components.
• In-depth knowledge of Hive, HBase, and Pig.
• Familiarity with Map Reduce and Pig Latin Scripts.
• Knowledge of back-end programming languages including Python and OOAD.
• Familiarity with data loading tools including Squoop and Flume.
• High-level analytical and problem-solving skills.
• Good project management and communication skills.

EA Licence Number: 17S8727

Registration ID: R23118584

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