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Machine Learning Data Scientist – NLP
Drive revenue growth and 97% forecast accuracy using generative AI to transform account data into strategic sales intelligence for enterprise sales and ops teams.
Education Requirements:
Graduate or postgraduate degree in Computer Science, Statistics, Analytics, or Data Science
Experience Requirements:
Role available at multiple levels (Jr, Sr, Principal)
Experience deploying NLP solutions in a commercial environment
Strong experience implementing models in production
Other Requirements:
Deep understanding of machine learning and deep learning algorithms
Expertise in developing NLP/NLU algorithms and models
Programming skills in Python and R
Knowledge of tools like TensorFlow, Keras, MXNET, and H2O
Experience with chatbot technologies like Elasticsearch and Solr
Responsibilities:
Research and develop algorithms for learning from text
Extract data sets containing millions of documents
Develop NLP capabilities to improve client service speed
Summarize research and analysis for stakeholders
Apply advancements in AI and deep tech to product needs
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Full Stack Developer/Architect (Senior/Principal)
Drive revenue growth and 97% forecast accuracy using generative AI to transform account data into strategic sales intelligence for enterprise sales and ops teams.
Education Requirements:
Any graduate with relevant degree
Experience Requirements:
4-10 Years of experience required
Four or more years of extensive full-stack experience (MEAN or similar)
At least three years of hands-on experience with Vue.js or React
At least five years of experience using Python or Java
Other Requirements:
Experience designing and building RESTful services
Experience with Kubernetes, Containers, and Microservices
Experience with cloud providers and CI/CD workflows
Knowledge of AUTH technologies such as OAuth2 and SAML
Strong experience with Git
Responsibilities:
End-to-end architecture of new products and delivery
Architect scalable and cost-effective cloud solutions
Define architecture principles and technology roadmaps
Identify and implement applications for new technologies
Lead technical initiatives and coordinate with other engineering groups
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Data Scraping Engineer (Intern)
Optimize fashion inventory and sales with AI-driven demand sensing that predicts trends and consumer preferences to reduce wastage and boost revenue velocity.
Education Requirements:
Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).
Experience Requirements:
Strong programming skills with proficiency in Python and Node.js.
Solid understanding of web scraping techniques and experience with relevant libraries and frameworks.
Proficiency in SQL and experience working with relational databases for data storage and retrieval.
Familiarity with version control systems, particularly Git.
Knowledge of key-value stores, such as Redis.
Other Requirements:
Experience with Elasticsearch or other search engines for data indexing and searching.
Strong problem-solving skills and the ability to handle complex data extraction scenarios.
Excellent attention to detail and the ability to ensure data accuracy and quality.
Strong communication and collaboration skills to work effectively within a team environment.
Familiarity with data privacy and security best practices.
Responsibilities:
Develop and maintain web scraping scripts to extract data from a variety of sources.
Collaborate with the data team to understand data requirements and implement effective scraping strategies.
Conduct data quality assessments to ensure the accuracy and reliability of scraped data.
Optimize scraping processes for efficiency and performance.
Troubleshoot and resolve issues related to data extraction and scraping.
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Senior UX / Graphics Designer
Monitor existing security systems and proactively deter incidents using AI-powered video analysis and human operators to reduce costs and response times.
Education Requirements:
Bachelor’s degree in Design, Visual Communication, Fine Arts or a related field (or equivalent experience)
Experience Requirements:
5+ years of experience as a designer (in-house), preferably in a B2B tech environment
Other Requirements:
Strong portfolio demonstrating creative design work
Proficiency in Adobe Creative Suite (Illustrator, Photoshop, InDesign)
Experience with Figma or Sketch is a plus
Ability to translate technical and complex concepts into clear, compelling visuals
Excellent communication skills and strong attention to detail
Responsibilities:
Create engaging and visually polished design assets for the website, blog, and social media
Design sales and marketing collateral including brochures, case studies, and infographics
Create and maintain Design artifacts for product needs (FIGMA Artifacts)
Maintain and evolve the brand guidelines including typography and color palette
Partner with content and marketing teams to storyboard and execute creative campaigns
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Customer Support Engineer
Monitor existing security systems and proactively deter incidents using AI-powered video analysis and human operators to reduce costs and response times.
Benefits:
Competitive salary and equity options
Health plans similar to large SaaS companies
Flexible work arrangements
Opportunities for learning, growth, and professional development
Education Requirements:
Bachelor's degree in Information and Computer Technology, Cybersecurity, Networking, IT Security, Computer Engineering or related degree
Experience Requirements:
Hands-on experience with troubleshooting and problem-solving in a fast-paced environment
Solid understanding of TCP/IP, UDP, TLS, DNS, HTTP, DHCP, Routers, Switches, NAT, VLANs
Other Requirements:
Understanding about IP Cameras, NVRs, Video Resolutions, ONVIF, RTSP
Outstanding written and verbal communication skills
Familiarity with ticketing systems such as Zendesk
Knowledge of Linux operating systems, Virtual Machines, and APIs
This role requires that you be on-site 5 days a week
Responsibilities:
Triage, manage, and resolve incoming technical support cases via phone, email, and chat
Troubleshoot issues related to the AI platform, networking, and physical security devices
Document and track all customer interactions and technical issues in the ticketing system
Escalate high-priority issues to the Product Engineering team
Perform Root Cause Analysis and formal report creations
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DevOps Engineer
Monitor existing security systems and proactively deter incidents using AI-powered video analysis and human operators to reduce costs and response times.
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Experience Requirements:
3 to 5 years of professional experience in DevOps, Site Reliability Engineering (SRE), or Cloud Operations
3+ years of experience with AWS, Azure, or GCP
Other Requirements:
Strong expertise in Terraform or Ansible and AWS Carpenter
Deep understanding of Kubernetes (deployments, services, ingress)
Fluency in Python, Bash, or Go
Strong Linux/Unix administration and VPC/DNS networking knowledge
Excellent communication skills and proactive mindset toward automation
Responsibilities:
Design, implement, and maintain automated build, test, and deployment pipelines
Provision and manage cloud infrastructure using Terraform, CloudFormation, or Pulumi
Manage containerized applications using Docker and orchestrate them with Kubernetes
Implement comprehensive monitoring, logging, and alerting systems
Integrate security best practices into the SDLC (DevSecOps)
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Security Analyst
Monitor existing security systems and proactively deter incidents using AI-powered video analysis and human operators to reduce costs and response times.
Education Requirements:
Bachelor's degree in any related field
Experience Requirements:
0-2 years of experience (in a call center or customer service role)
Other Requirements:
Excellent communication skills with fluency in English
Familiarity with computer systems and basic security systems
Ability to work flexible hours, including weekends, holidays and rotating shifts
Able to work with highly confidential information
Strong decision making during various situations
Responsibilities:
Real-time monitoring and assessment of security alarms and systems
Prompt and efficient response to security incidents and alarms
Escalation of security incidents to appropriate personnel based on severity
Documentation of incidents including maintaining logs and incident reports
Performing other duties as assigned by the SOC Manager
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Finance Analyst/Sr Analyst
Monitor existing security systems and proactively deter incidents using AI-powered video analysis and human operators to reduce costs and response times.
Benefits:
Competitive salary and equity options
Health insurance comparable to the large tech companies
Flexible work arrangements
Education Requirements:
Bachelor’s degree in Business, Accounting, Finance, or a related field
Experience Requirements:
3-5 years of experience in finance or accounting
Accounts receivable experience with U.S. companies or customers
Other Requirements:
Proficiency in Quickbooks and online banking platforms
Proficiency in Google Sheets & G-Suite
Excellent communication and strong attention to detail
Analytical mindset with strong problem-solving abilities
Comfortable with a flexible work schedule
Responsibilities:
Generate, send, and manage customer invoices using QuickBooks
Track accounts receivable, customer payments, and outstanding balances
Follow up with customers on overdue invoices professionally
Reconcile payments received with QuickBooks records
Maintain accurate AR aging reports and share updates with leadership
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Operations Quality Associate
Monitor existing security systems and proactively deter incidents using AI-powered video analysis and human operators to reduce costs and response times.
Education Requirements:
Bachelor’s degree in any related field
Experience Requirements:
Overall experience: 5-8 years
Other Requirements:
Excellent written and spoken communication skills
Strong analytical and problem-solving skills
Proficiency in Excel, Google Sheets, and data visualization tools (Tableau, Power BI)
Experience in quality control or operations in international BPOs preferred
Comfortable handling highly confidential information
Responsibilities:
Own overall quality metrics and efficiency of the monitoring process
Conduct deep dives into monitoring data to identify trends and anomalies
Collaborate with the SOC team to drive changes in operational procedures
Support operational decision-making through data-driven insights
Conduct quarterly training sessions for operators to improve performance
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Manufacturing Application Engineer
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Experience Requirements:
Experience shipping reliable software in real-world environments
Other Requirements:
Proficiency in Python (Async, IO) and TypeScript/JavaScript (Next.js/React)
Practical understanding of peripheral/device control and drivers
Solid understanding of networking fundamentals and Linux system debugging
Responsibilities:
Design and operate production-grade apps for HW screening and factory workflows
Build Python-based backends for device control, log parsing, and automated validation
Develop Next.js Web UIs for monitoring, error triage, and configuration management
Implement peripheral control and integration (USB, UART, I2C, SPI) with a focus on safety
Troubleshoot full-stack issues from device connectivity to system-level latency
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PCIe Firmware Engineer
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Education Requirements:
Bachelor’s or higher degree in Electrical Engineering, Computer Engineering
Experience Requirements:
Minimum of 5 years of experience in hardware-software integration, validation, driver/firmware development, and testing on PCIe(Gen3/4/5)
Other Requirements:
Deep understanding of PCIe protocol(Gen3/4/5)
Strong background in silicon validation and embedded software development, proven debug skills
Excellent communication and problem-solving skills
Responsibilities:
PCIe subsystem control firmware development
LTSSM and power state management
DMA, ATU, ATS, SRIOV and customized features implementation
PCIe sub system integrated programmable core firmware development
Support and debug PCIe compliance tests
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Ethernet Firmware Engineer
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Education Requirements:
Bachelor’s or higher degree in Electrical Engineering or Computer Engineering
Experience Requirements:
Minimum of 5 years of experience in next-generation Ethernet firmware development
Other Requirements:
Deep understanding of Ethernet protocols (Layer 2/3, TCP/IP, UDP)
Strong background in silicon validation, embedded software development, and proven debugging skills
Excellent communication and problem-solving abilities
Responsibilities:
Evaluate and develop Ethernet control subsystem firmware
Optimize and implement Layer 2/3 protocols
Implement and debug RoCE (RDMA) functionality
Integrate hardware and software architectures to evaluate systems
Provide solutions for technical issues and ensure system performance
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Legal Counsel
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Experience Requirements:
Experience of 4 to 10 years in a law firm or corporate legal team
Other Requirements:
Domestic (Korean) attorney license holder
Experience in business English communication preferred
Responsibilities:
Establishment and inspection of compliance control standards under the Commercial Act
Review, drafting, and modification of Korean/English contracts
Legal risk review and negotiation support
Response to domestic and international litigation/disputes
Establishment and operation support of compliance systems at the level of listed companies
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Framework Software Engineer
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Education Requirements:
Master's or higher degree in Computer Science, Electrical Engineering, or a related field
Experience Requirements:
Strong experience with Python, C++ and PyTorch, including model execution and runtime internals
Hands-on experience with inference serving or high-performance ML systems
Other Requirements:
Familiarity with Linux systems, profiling tools, and debugging performance bottlenecks
Strong problem-solving skills and the ability to reason about system-level trade-offs
Clear communication skills and ability to collaborate in a fast-paced environment
Responsibilities:
Design, develop, and optimize high-performance inference frameworks for large-scale distributed serving
Improve end-to-end serving performance (TTFT, ITL, throughput, tail latency)
Design scalable multi-node serving architectures
Analyze and optimize memory usage, device utilization, and communication overhead
Build and maintain benchmarks and simulators for AI serving workloads
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Experience Marketing Coordinator
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Experience Requirements:
1-3 years of digital marketing or content-related experience
Other Requirements:
Excellent document writing and editing skills
Smooth communication and collaboration skills
Strong execution ability to manage multiple tasks and meet deadlines
Responsibilities:
Content management and updates for the company website and related platforms
Support marketing for domestic and international events
Production and localization of marketing materials such as presentations and SNS content
Collaborate with design, product, engineering, and business teams
Operational support for communication and branding activities
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Finance Manager
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Experience Requirements:
3+ years of experience in finance and accounting
Practical experience in accounting and settlement
Other Requirements:
Experience in reporting and paying national/local taxes like VAT and corporate tax
Experience using Douzone ERP
Responsibilities:
Monthly closing and preparation of financial statements
Reviewing the completeness of sales/purchase tax invoices
Settlement of corporate cards and management of unresolved items
Preparation of account specifications based on settlement
Responding to external audits and investor requests
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Partner Operations Manager
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Experience Requirements:
5+ years of B2B partnership, channel management, or alliance related experience
Other Requirements:
Understanding of IT, semiconductor, cloud, AI, or data center industries
Basic business understanding of partner contracts, collaboration structures, and revenue models
Basic understanding of server hardware components and manufacturing processes
Business-level English communication skills
Responsibilities:
Lifecycle management from partner onboarding to enablement programs and performance management
Management of partner sales pipeline and business performance analysis
Execution of GTM strategy through collaboration with partner organizations
Establishment of purchase strategies for AI servers and hardware components
Cost optimization and establishment of supply systems with server production partners
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IR Manager
Deliver petascale-class AI inference with 50% less power consumption than leading GPUs using purpose-built chiplet hardware for hyperscale data center workloads.
Experience Requirements:
5+ years of relevant experience, with 3+ years in disclosure for listed companies
Other Requirements:
Experience performing disclosure duties with FSS/KRX
High understanding of the Commercial Act, Capital Markets Act, and exchange disclosure regulations
Responsibilities:
Support preparation of listing documents and materials for IPO readiness
Management of disclosure schedules and preparation of periodic/occasional disclosure materials
Response to regulatory agencies and monitoring of major laws and regulations
Planning and operation support for IR activities targeting domestic and international shareholders
Support for shareholder communication tasks
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Product Operations Analyst - L2
Optimize retail media spend and dominate the digital shelf with AI-powered automation across Amazon, Walmart, and 1,450+ retailers for consumer brands.
Education Requirements:
Bachelor’s degree in computer science or equivalent
Experience Requirements:
1-2 years of relevant work experience
Experienced as an analyst or working with an e-commerce organisation
Other Requirements:
Knowledge of retail branding, product mapping & taxonomy metrics
Strong knowledge of Google spreadsheet and MS Excel (Vlookup, Advance formulae)
Must be able to prioritise and handle multiple tasks
Excellent Verbal and written communication skills
Good to have: any computer language background (html, css, sql, etc)
Responsibilities:
Completing tickets by client and follow-up to get them resolved
Onboarding customers to the portal using CRM and ensuring the quality of data
Analysing ecommerce retailer websites to collect /gather data for business release
Partner with other teams to develop & release UI instances according to the client demand
Perform UAT on the UI and work with customer success team to resolve the UI issues
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Data Science- Manager
Optimize retail media spend and dominate the digital shelf with AI-powered automation across Amazon, Walmart, and 1,450+ retailers for consumer brands.
Education Requirements:
Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics
Experience Requirements:
7+ years of hands-on experience in applied machine learning and data science
2+ years in a leadership or managerial role
Success in adapting foundation models through fine-tuning or transfer learning
Other Requirements:
Expertise with PEFT approaches (LoRA, prefix tuning, etc.)
Proficiency in PyTorch, TensorFlow, and Hugging Face
Knowledge of GPU/TPU optimization and scaling ML workloads
Responsibilities:
Lead and mentor a team of applied scientists and ML engineers
Translate cutting-edge research into practical, scalable business solutions
Design, evaluate, and improve models using robust validation strategies
Collaborate with product, engineering, and business stakeholders
Articulate complex ML concepts to technical and non-technical audiences
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