Education Requirements:

• Master’s degree or PhD in Computer Science, AI, Linguistics, or a related field.

Experience Requirements:

• Proven track record of research in AI, machine learning, or NLP, demonstrated through publications, software, or patents.

• Experience in developing and evaluating AI systems, along with an understanding of cutting-edge AI research is desirable.

• Experience in training, fine-tuning, and/or experimenting with ML models.

• Strong programming skills in Python, and familiarity with deep learning frameworks (e.g., PyTorch, Hugging Face, Jax).

Other Requirements:

• Excellent analytical, problem-solving, and communication skills.

• Fluent in English, proficiency in Thai is highly desirable.

Responsibilities:

• Conduct groundbreaking research on AI, with a focus on natural language processing, machine learning, and low-resource language technologies.

• Publish research findings in top-tier journals and at leading international conferences.

• Explore and experiment with cutting edge research in related fields.

• Collaborate with a global network of researchers and industry partners to advance our research goals.

• Work with an engineering team to develop open-source models, software and tools that facilitate AI research and application in low-resource languages.

Education Requirements:

• BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation

Experience Requirements:

• 2+ years’ experience in the field.

Responsibilities:

• Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions

• Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems

• PLC programming for embedded logic programming

Education Requirements:

• ITE/Diploma level qualification in Robotics/ Computing/ electrical/mechanical or any other related subject

Experience Requirements:

• 1+ years proven professional hands-on experience.

Responsibilities:

• Support team lead with integration, calibration, and verification test

• Perform continues tests / data collection as per test plans.

• Monitor system behavior during tests and recording observations and issues.

• Perform trouble shooting and root cause analysis for observation

Education Requirements:

• Relevant certifications, Degree or Diploma in Operations Management or Office administration or related fields

Experience Requirements:

• 2-3 years’ experience in procurement, office administration, operation coordination or a similar role or experience

Responsibilities:

• Plan and organise internal meetings, conferences and client visits including securing meeting rooms, arranging catering and ensuring all equipment’s is ready and operational

• Responsible for day to day operations of office activities such as handling of office supplies, managing mail and deliveries and supporting colleagues with general administrative tasks

• Manage the asset and equipment tracking, organisation and replenishment of supplies, ensuring accurate inventory tracker for effective asset governing

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Education Requirements:

• A Bachelor’s degree (or higher)

• Strong curiosity about how people think, express themselves, and how to distill, clarify, and label that information for AI and machine learning [applications](http://applications.Excellent).

Other Requirements:

• Excellent Communication Skills: Strong ability to communicate complex technical information clearly and concisely, both written and verbal.

• Technical Document Comprehension: Ability to read and understand technical documents, and annotate them with precision.

• Graph & Flowchart Creation: Hands-on experience in creating graphs, charts, and flowcharts to visualize technical data.

• Attention to Detail: A keen eye for ensuring accuracy in data annotation and visualization.

• Technical Aptitude: Comfortable working with technical information and turning it into easily understandable visuals.

• Flexible Working Hours: Availability to work flexible hours, primarily in the PST time zone.

• Immediate Availability: Must be able to start immediately and commit to the full 6-month contract.

Responsibilities:

• Document Review & Annotation: Thoroughly analyze technical documents, and accurately annotate key information and data points.

• Graph & Flowchart Creation: Translate complex technical specifications into clear and concise graphs and flowcharts, ensuring accuracy and clarity.

• Data Visualization: Develop graphs, charts, and other visual data representations to support documentation and aid in understanding.

• Collaboration: Work closely with technical teams to ensure correct representation of data and processes.

• Quality Control: Ensure all annotations and visual elements meet accuracy standards and align with the original documentation.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, GPT).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Hands on experience in deployment

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 4+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.

• Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.

• Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.

• Experience with real-time streaming systems such as Kafka and Flink.

• Experience in working with large datasets and high-throughput data environments.

Other Requirements:

• Familiarity with cloud platforms like Azure, GCP, or AWS.

• Strong problem-solving skills and ability to work in fast-paced environments.

• Excellent communication and collaboration skills.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex concepts effectively to non-technical stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 5+ years of experience in backend engineering or a similar role.

• Hand on experience in LLM , NLP

• Proficiency in programming languages such as Java, or Python

• Strong experience with database management systems (e.g., PostgreSQL, MongoDB) and data modeling.

• Familiarity with cloud services (e.g., AWS, Azure, GCP) and microservices architecture.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to diverse stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of delivering high-quality projects.

Responsibilities:

• Lead the design, development, and maintenance of scalable backend systems and APIs that support our AI-driven platform.

• Collaborate with cross-functional teams to ensure seamless integration of backend services with frontend applications.

• Optimize system performance, reliability, and scalability through best practices and innovative solutions.

• Troubleshoot complex issues and implement solutions to improve application functionality and user experience.

• Mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.

Experience Requirements:

• 5+ years of product management experience, preferably in search- or field service-related products

• Experience with AI-powered diagnostics, field service management (FSM), or customer support automation.

Other Requirements:

• Familiarity with modern search concepts vector/hybrid search, RAG architectures, reinforcement learning, NER, query expansion/rewriting, knowledge graphs, intent recognition, and conversational search

• Strong expertise in leveraging data and user behavior for search optimization

• Experience with customer service and field service management (FSM) platforms such as ServiceNow, Salesforce Service Cloud, or Microsoft Dynamics.

Responsibilities:

• Define and execute the product roadmap for Neuron7’s Search product, focusing on search relevance, configurations, and insights Define and execute the product roadmap for Neuron7’s Search products, focusing on search relevance, configurations, and insights

• Develop AI-driven insights to help customers track and improve search KPIs

• Work with data science and engineering teams teams to implement intelligent search capabilities like vector/semantic search, RAG, and reinforcement learning for search optimization

• Explore and implement concepts for Conversational Search where relevant for service cases

Benefits:

• Competitive salary, equity, and performance bonuses

• Paid sick leave

• Latest MacBook Pro and best-in-class tools

• Comprehensive health insurance coverage

• Paid parental leave

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a Tier-1 institution

Experience Requirements:

• 4–7 years of experience in AI/ML development, including hands-on work with LLMs systems

• Demonstrated ability to take research concepts into production-grade systems

Other Requirements:

• Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch

• Experience with Large Language Models (e.g., GPT, Claude, LLaMA) including prompt engineering and fine-tuning

• Hands-on knowledge of reinforcement learning, planning algorithms, and autonomous agent frameworks

• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices

• Strong understanding of AI pipelines, API development, and system integration

Responsibilities:

• Design and build AI agents that autonomously plan and perform complex tasks using LLMs, reinforcement learning, and symbolic Machine Learning & NLP: Develop and fine-tune NLP models for natural language understanding, contextual decision-making, and conversational

Experience Requirements:

• Relevant work experience of 5 - 7 years in Front End Technologies

• Experience in VueJS ecosystem, including Vue CLI, Vuex, Vue Router, and Nuxt.js is a Big Plus

• Experience in JS, HTML, CSS, and CSS frameworks (Bootstrap/Vuetify/Quasar)

• Proficient with the JavaScript language and its modern ES6+ syntax and features

• Proficient with framework and its core principles such as components, reactivity, and the virtual DOM

Responsibilities:

• Designing & Developing user-facing applications using Vue.js

• Participate in Product Discovery - Empathize, Define, Ideate, Prototype, Test

• Translate UI/UX design wireframes to code

• Architect application for maximum speed and scalability

• Participate in Code Reviews, Design Reviews and drive best practices

Experience Requirements:

• Hands-on development experience of 4 - 6 years using Python

• Experience in backend frameworks eg. Django, Flask, etc

• Data modelling experience in both Relational and NoSQL databases

• Good knowledge in ORM/ODM

• Strong knowledge of data structures, algorithms, distributed systems, and asynchronous architectures

Responsibilities:

• Responsible for architecting and building solutions based on technical and business requirement

• Innovate, prototype, and iterate solutions to achieve Product Requirements in iterations

• Own the development, unit tests, documentation, contract exchange of user stories assigned to them

• Estimating, prioritizing, planning, and executing the development plan effectively

Experience Requirements:

• 6 or more years of experience with C++

• Robust and deep understanding of data structures and algorithms

• Experience with robot-specific algorithms and methodologies (e.g., motor control, mapping, localization, path-planning, navigation, manipulation, etc.)

• Experience with image processing (e.g., OpenCV)

• Deep understanding of Linux (kernel and userspace)srs

Responsibilities:

• Design, develop, document, and deploy Semio’s on-robot and on-desktop (native) software and infrastructure

• Create unit tests and manually test software’s compliance and robustness

• Communicate with senior management and peers

• Interface with customers on occasion to discover needs and correct issues

• Create and deliver technical presentations to both internal and external audiences

Experience Requirements:

• Deep understanding of common data structures and algorithms

• 2 or more years of experience with Node.js and JavaScript

• 2 or more years of experience building non-trivial web apps

• 1 or more years of experience with React

• Experience with Linux and git

Responsibilities:

• Design, develop, document, and deploy Semio’s cloud-based web apps and web infrastructure

• Create unit tests and manually test software’s compliance and robustness

• Communicate with senior management and peers

• Interface with customers on occasion to discover needs and correct issues

• Deliver technical presentations to both internal and external audiences

Experience Requirements:

• Deep understanding of common data structures and algorithms

• 2 or more years of experience with Node.js

• Experience with Linux and git

• Experience with NoSQL and SQL databases

• Experience building highly scalable and fault tolerant cloud services

Responsibilities:

• Design, develop, document, and deploy Semio’s cloud-based web apps and web infrastructure

• Create unit tests and manually test software’s compliance and robustness

• Communicate with senior management and peers

• Interface with customers on occasion to discover needs and correct issues

• Create and deliver technical presentations to both internal and external audiences

Experience Requirements:

• Deep understanding of common data structures and algorithms

• 2 or more years of experience building large and high performance web apps

• Robust and deep understanding of foundational web technologies and specifications (e.g., JavaScript, HTTP, HTML, CSS, WebSockets, etc)

• 1 or more years of experience with React

• Experience with Linux and git

Responsibilities:

• Design, develop, document, and deploy Semio’s cloud-based web apps and web infrastructure

• Create unit tests and manually test software’s compliance and robustness

• Communicate with senior management and peers

• Interface with customers on occasion to discover needs and correct issues

• Create and deliver technical presentations to both internal and external audiences