AI Jobs

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

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

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

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

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

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

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

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

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

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 3+ years of hands-on experience in applied machine learning and data science

• Experience training and fine-tuning large-scale models (LLMs, transformers)

• Experience working on applied AI problems across NLP or computer vision

Other Requirements:

• Hands-on expertise with PEFT approaches such as LoRA

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and mixed precision training

Responsibilities:

• Design, evaluate, and improve models using validation strategies

• Adapt foundation models to domain-specific applications

• Collaborate with product and engineering stakeholders

• Translate research into practical, scalable solutions

• Provide technical guidance to junior scientists

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 5+ years of hands-on experience in applied machine learning and data science

• Experience in training and fine-tuning large-scale models

• Proven record of adapting foundation models through transfer learning

Other Requirements:

• Expertise in PEFT approaches and quantization-aware training

• Proficiency in Spark, Databricks, or cloud-native ML services

• Excellent communication and presentation skills

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Design, evaluate, and improve models using bias/fairness checks

• Work with product and engineering teams to deliver AI solutions

• Translate research breakthroughs into scalable production systems

• Ensure performance optimization of AI models

Experience Requirements:

• 8-10+ years of software engineering experience

• 3+ years in Senior IC roles

• In-depth knowledge of LLMs and agent frameworks (LangChain, LlamaIndex)

• Strong expertise in vector DBs (FAISS, Pinecone, Milvus)

Other Requirements:

• Proficient in Python and at least one systems language (Go, Java, or C++)

• Track record with RAG pipelines

• Strong background in system design

Responsibilities:

• Define and drive architecture for agentic AI systems

• Design frameworks for agents to autonomously analyze data

• Build scalable retrieval systems leveraging vector databases

• Design evaluation datasets and benchmarking frameworks

• Provide technical guidance and mentor engineers

Experience Requirements:

• 8+ years of experience in software engineering

• 3+ years of experience in leading small to medium-sized teams

• Expertise in scalable, distributed systems

Other Requirements:

• Knowledge of AWS, Spark, Databases, and Kubernetes

• Data-intensive application experience (ETL/ELT) is a plus

• High level of independence

Responsibilities:

• Build a reliable, scalable crawl platform for unified data

• Define and drive technical strategy and team roadmap

• Lead high-impact projects and handle ambiguous problem statements

• Own system design, architecture, and observability

• Mentor and lead engineers, fostering technical excellence

Benefits:

• Competitive salary and performance-based incentives

• Annual personal development budget

• 25 days of annual leave

• Hybrid remote work

• Access to leading industry conferences, training, and certifications

Education Requirements:

• Bachelor’s degree in Computer Science, Bioinformatics, Data Science, or a related field.

Experience Requirements:

• 0–1 years of experience in a technical, analytical, or customer-facing role (internships or research projects count).

Other Requirements:

• U.S.-based and eligible to work on federal health projects

• Security clearance eligibility is required

• Basic understanding of cloud infrastructure (AWS, Azure, or GCP)

• Interest in federated data systems or privacy-preserving technologies

Responsibilities:

• Support Senior Solutions Managers and Sales in preparing demos, presentations, and technical documentation

• Assist with solution workshops and proposal responses by gathering requirements

• Participate in customer onboarding and platform setup activities

• Configure data ingestion and harmonization pipelines (e.g., OMOP, FHIR, CDISC)

• Shadow customer meetings and deployments to gain experience with federated access

Other Requirements:

• Research and compiling data skills

• Proactive attitude

Responsibilities:

• Research, compile data and compose correspondence

• Provide admin assistant support to global central labs

• Take initiative in providing back-up support materials for manager

• Handling QC review to support labs

• Maintain database or track departmental information

Education Requirements:

• Bachelor's Degree in Science or related field

Experience Requirements:

• Minimum 2 years clinical/research industry experience

• 1 year project management/set up experience

Other Requirements:

• Strong interpersonal skills

• Computer proficiency with Microsoft Office

• Knowledge of Project Management processes

• Accuracy and attention to detail

Responsibilities:

• Manage the process of designing and launching clinical research studies

• Develop database design requirements and configuration

• Collaborate with colleagues on project timelines and issues

• Manage action/issues logs, status sheets, and timelines

• Communicate set-up activities with clients and internal customers

Benefits:

• Generous remuneration and stock units + uncapped commissions

• Education allowance up to USD$5,000 per annum

• Private health insurance allowance

• Annual fitness reimbursement

• Primary Caregiver Leave of 16 weeks

Experience Requirements:

• 5+ years of direct sales in Commercial/Enterprise SaaS in Singapore

• Executing complex sales cycles with C-Level executives

• Strong analytical skills to identify trends

• Consultative selling and closing skills

• Accurate forecasting and pipeline management

Other Requirements:

• Critical thinker with custom solution experience

• Strong team player

• Humble with growth mindset

Responsibilities:

• Position HubSpot’s platform to Commercial/Enterprise businesses

• Educate and guide prospects through the buyer’s journey

• Collaborate with marketing and local partners

• Manage pipeline of self-sourced and inbound leads

• Forecast and close new business and install base

Benefits:

• Competitive base salary

• Annual bonus based on company performance

• Flexible working options available for most roles

• Learning and career development

• Access to healthcare & wellbeing programmes

Education Requirements:

• A minimum of a master’s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

• A PhD in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

Experience Requirements:

• Proven experience in machine learning engineering

• Extensive experience in Python programming and knowledge in machine learning and statistics

• Demonstrated proficiency working with clinical trial data in an academic or professional setting

• Familiarity with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch

• Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices

Other Requirements:

• Ability to work both autonomously and collaboratively on complex projects

• Academic or industry experience in the biomedical sciences especially in respiratory diseases

• Prior experience working in clinical trials

• Experience with real world evidence

• Expertise developing machine learning models within the PyTorch framework

Responsibilities:

• Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types.

• Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks.

• Connect and collaborate with subject matter experts in biology, genomics, and medicine.

• Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.

• Develop and embed automated processes for predictive model validation, deployment, and implementation.

Experience Requirements:

• Freshers can also apply

Benefits:

• Share scheme

• Company pension

• Office snacks

• Healthcare

Experience Requirements:

• Experience working in a development environment and across a range of skillsets

• Node.js and ReactJS

• MongoDB and SQL Database Systems (MySQL, Postgres)

• No-SQL (GraphQL, DynamoDB)

• Cloud architecture, specifically AWS (S3, EC2) and Azure

Other Requirements:

• Experience with Agile, Scrum methodology in DevOps environment

• Experience with Micro Services with containerisation hosted on AWS

• Git version control

Responsibilities:

• Working on Frontend and/or Backend using modern micro-service applications

• Building the stack that hosts our AI models