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Experience Level
Experience
Qualifications
Bachelor's degree in Computer Science, Engineering, or related field. Proven experience in AI/ML development and deployment. Strong programming skills in Python, Java, or C++. Familiarity with machine learning frameworks such as TensorFlow or PyTorch. Excellent problem-solving and analytical skills.
About the job
Bosch Group is hiring an AI Engineer at Hemaraj Eastern Seaboard Industrial Estate. This role focuses on building and improving artificial intelligence solutions that support Bosch products and services.
What You Will Do
Design AI algorithms and models tailored to real-world applications
Develop and implement these solutions to enhance product capabilities
Work closely with teams from different backgrounds to address complex challenges
Collaboration
Expect to partner with colleagues across disciplines. Problem-solving and sharing ideas are part of daily work as you help shape technologies with real impact.
About Bosch Group
Bosch Group is a global leader in engineering and technology, providing innovative solutions across various sectors including automotive, industrial technology, consumer goods, and energy. With a commitment to sustainability and quality, Bosch Group is dedicated to improving the quality of life through innovative products and services.
The future of AI — whether in training or evaluation, classical ML or agentic workflows — begins with high-quality data.At HumanSignal, we are developing a platform that supports the creation, curation, and evaluation of crucial data. Our tools are utilized by leading AI teams for fine-tuning foundational models and validating agent behaviors in production, …
Welo Data, a proud member of the Welocalize family, stands at the forefront of AI data solutions, boasting over 500,000 contributors who provide top-tier, ethically sourced data for the advancement of cutting-edge AI technologies. Our mission is to cultivate smarter, more human-like AI through a vibrant and diverse community spanning over 100 countries.At Welo Data, our mantra is 'Limitless AI. Limitless You.' This reflects our commitment to enhancing AI through the invaluable contributions of individuals like you, while also providing boundless opportunities for personal and professional growth within our global network.Are you meticulous and passionate about technology? We are on the lookout for a worldwide network of linguists, language lovers, and culturally attuned contributors to help create safer and more intelligent AI systems. By joining our talent community, you will have first access to flexible, remote projects that involve annotation, evaluation, and prompt creation—all according to your preferences. Please note: This is not a current job vacancy. By applying, you will become part of our global contributor network, and we will contact you when a project that matches your skills and availability arises, providing you with all necessary details, including scope, timeline, and compensation. Qualifications- Fluent in Burmese- Residing in: Myanmar, Thailand, Malaysia- Proficient in English- Comfortable utilizing digital tools- Detail-oriented with a keen interest in technology Why Be a Part of Welo Data? Limitless You – Enjoy the freedom to work on your schedule and grow your skills Limitless AI – Contribute to the development of more intelligent and inclusive AI solutions Join Us – Become a member of a supportive, global community Details of Our Projects:Welo Data's projects vary in complexity and scope, all contributing to the creation of AI that is more accurate, inclusive, and human-centered.Depending on your skill set, you may: Annotate or label text, images, or audio to aid AI training Evaluate search results, advertisements, or chatbot interactions for quality assurance Create and test prompts designed to enhance large language models (LLMs) Ensure that content is culturally and linguistically relevant...
The future of AI begins with high-quality data.At HumanSignal, we're crafting the platform that fuels the creation, curation, and evaluation of this crucial data. From fine-tuning foundational models to assessing agent behaviors in real-world applications, our tools empower premier AI teams to ground their models in authentic signals, not mere noise.Our open-source product, Label Studio, has emerged as the de facto standard for data labeling and evaluation across various modalities—spanning text, images, time series, and agents in environments. With over 250,000 users and hundreds of millions of labeled samples, it stands as the most widely adopted OSS solution for teams dedicated to developing AI systems.Label Studio Enterprise enhances this momentum, offering the security, collaboration, and scalability features essential for supporting mission-critical AI pipelines—driving everything from model training datasets to evaluation test sets and continuous feedback loops. We began our journey before foundation models became mainstream, and we are now intensifying our efforts as AI transforms the world. If you're passionate about aiding leading AI teams in creating smarter, more precise systems, we want to hear from you!(Thailand BASED) AI Data Collector — Turn the World Into Your Workplace!Are you enthusiastic about scavenger hunts?Do you enjoy discovering the world around you?Would you like to earn a competitive salary while engaging in something fun, flexible, and impactful?We’re on the lookout for inquisitive, detail-oriented individuals to join us as AI Data Collectors. In this role, your workspace is wherever you choose to be!
We are seeking a passionate and skilled Data Engineer to join our dynamic Data Collection Team at cube-asia. In this role, you will play a crucial part in designing and implementing data pipelines that facilitate seamless data collection and processing.You will collaborate with cross-functional teams to ensure the integrity and accessibility of data, utilizing state-of-the-art technologies to optimize performance and scalability. If you thrive in a fast-paced environment and are eager to contribute to innovative data solutions, we want to hear from you!
Join our dynamic team as an AI Data Specialist, where your expertise will contribute to the enhancement of AI-generated content in Thai. Job Type: FreelanceLocation: Work from homeWork Schedule: Part-time - 10+ hours per week. Flexible hours to suit your lifestyle.Start Date: ImmediateDuration: To Be ConfirmedRate: Rates vary by location. Be a Part of AI's FutureIf you're a student, a recent graduate, a stay-at-home parent, a gig worker, or a professional eager for flexible remote work, join us in shaping the future of AI models! Your ResponsibilitiesIn this role, you'll engage in various data-related tasks, which include:Data collection, evaluation, and annotation.Conducting pairwise comparisons.Counting tasks.Object tagging and labeling across various content types such as audio, video, images, or collected data. Ideal Candidate Profile:- Native-level fluency in Thai.- English Proficiency: Fluent or advanced proficiency (B2–C2).- Preferred Skills in AI & Data: Experience in machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Provide:- A flexible working schedule.- An opportunity to earn additional income.- Timely payments.- A perfect job for students, part-timers, or stay-at-home parents.
Join our dynamic team as an AI Data Specialist, where you will play a pivotal role in enhancing the quality of AI-generated content in Burmese. This freelance position allows you to work from home with a flexible schedule, making it ideal for students, recent graduates, or anyone seeking part-time opportunities. You'll engage in a variety of data-related tasks, including data collection, evaluation, annotation, and object tagging across diverse content types such as audio, video, and images.
Join Veeam, the foremost leader in data resilience, where we empower businesses to maintain control over their data anytime and anywhere. Our solutions encompass data backup, recovery, portability, security, and intelligence, safeguarding over 550,000 clients globally. Be a part of our journey as we innovate and forge impactful relationships with leading brands in the industry. Embrace the future of data resilience with confidence.About the Role: As Veeam expands its footprint following the acquisition of Securiti AI, a frontrunner in AI-driven data security posture management (DSPM), we are on the lookout for adept Sales Specialists to catalyze growth within this dynamic sector. Your focus will be on Securiti AI solutions, partnering closely with Veeam account executives to cross-sell to existing clients, acquire new business, and enhance our Securiti AI client portfolio. Enjoy a collaborative territory with multiple AEs, lucrative earning potential, and the support of a dedicated Securiti AI solution engineer for technical engagements. Leverage Veeam's extensive go-to-market resources to drive customer success.What You’ll Do: Develop and implement a territory strategy aimed at generating sustainable revenue within assigned accounts.Work in tandem with account executives to identify and optimize cross-selling opportunities for Securiti AI solutions.Oversee the complete sales cycle, acting as a trusted advisor and delivering compelling business presentations to clients.Manage a portfolio of high-value opportunities, ensuring precise forecasting and adherence to CRM practices.Enhance relationships with key channel partners and resellers to boost deal flow and market presence. What You’ll Bring: Demonstrated success in closing complex enterprise software deals, with 10-15+ years of experience in security software sales.Proven ability to navigate multithreaded sales cycles with multiple stakeholders.Established relationships with C-suite executives and channel partners in the technology sector.
Key ResponsibilitiesLeadership and Strategic DevelopmentSteer comprehensive AI and Advanced Analytics projects to bolster CP Axtra’s Retail and Wholesale sectors.Formulate and implement an innovative AI strategy aimed at achieving significant improvements in revenue, operational efficiency, and customer engagement.Act as a liaison between business functions and technology to facilitate the adoption and scaling of AI initiatives across various departments.Keep abreast of both global and local AI advancements, including Generative AI, personalization, forecasting, and optimization, to enhance CP Axtra’s market position.Analytics and AI ImplementationOversee the design, development, and implementation of machine learning and AI models that include personalization engines, pricing optimization, demand prediction, inventory management, and GenAI/NLP applications.Manage experimentation, validation, and ongoing monitoring of AI/ML models to guarantee scalability, reliability, and integration within business operations.Ensure effective collaboration with data engineering teams to create robust data pipelines and MLOps for production-ready solutions.Collaborative Business EngagementWork closely with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to collaboratively develop AI use cases and promote their adoption.Establish strong relationships with stakeholders to align on priorities, effectively communicate trade-offs, and manage expectations.Serve as a trusted advisor to senior management, translating complex AI insights into actionable strategies.Promote the significance of AI and data-driven decision-making throughout the organization.Team Leadership and CollaborationGuide and mentor a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous improvement.Encourage cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver cohesive solutions.Facilitate knowledge sharing and enhance internal AI/ML capabilities to elevate organizational maturity.Performance Measurement and EnhancementDefine and track success metrics for AI initiatives, including sales growth, campaign ROI, operational cost savings, and customer lifetime value.Continuously evaluate and optimize AI-driven processes to maximize business outcomes.Communicate findings, case studies, and success stories to build trust and ensure alignment with business leaders.
Agoda has connected travelers with hotels, flights, and experiences worldwide since 2005. As part of Booking Holdings, the company brings together over 7,000 employees from 90 countries, all focused on making travel simpler through data and technology. The Collections team, part of Credit Risk and Collections, manages overdue balances from hotel partners across several product lines. Combining in-house expertise with support from external partners, the group works to recover payments and improve collection processes. The Bangkok office is growing and now seeks a Senior Collections Analyst. Role overview This Senior Collections Analyst position centers on working directly with hotel partners to recover outstanding payments owed to Agoda. The role involves collaboration across teams to improve operations and contribute to new projects. Opportunities exist to take part in major initiatives within the collections group. What you will do Recover overdue payments by reaching out to hotel partners through calls and emails. Negotiate with partners to help them meet their contractual payment commitments. Develop repayment plans and encourage partners to follow through on them. Location This position is based in Bangkok, Thailand.
Veeam, recognized as the global leader in data resilience, empowers organizations to maintain complete control over their data at any time and from any location. With a focus on data backup, recovery, portability, security, and intelligence, Veeam serves over 550,000 customers worldwide, providing them with the trust and tools needed to keep their operations seamless. As we continue to evolve and innovate, we invite you to be part of our journey, making significant strides for some of the world’s most prominent brands. The future of data resilience is here—join us as we advance boldly together.About the Role: Following our acquisition of Securiti AI, a pioneer in AI-driven data security posture management (DSPM), Veeam is on the lookout for a Senior Sales Engineer. This role will be pivotal in providing technical expertise within our sales team, with an emphasis on the Securiti AI portfolio. You will collaborate closely with a Securiti Sales Specialist and offer support to 3–5 Account Executives and Veeam Solution Engineers as the go-to technical expert.Your responsibilities will include guiding clients from their initial needs assessment through to solution design, showcasing the value of our offerings through hands-on demonstrations and proof-of-concepts. To excel in this position, strong technical proficiency coupled with the ability to establish lasting relationships with clients is essential.What You’ll Do:</strong> Act as the primary technical liaison for Securiti AI solutions throughout the sales processLead technical discussions and tailor security solutions to meet client needsAddress customer requirements in data discovery, posture management, and complianceDesign and deliver compelling product demonstrations and proof-of-concept presentationsWork collaboratively with product, engineering, and customer success teams to ensure seamless transitionsWhat You’ll Bring:</strong> Extensive experience in pre-sales or sales engineeringDeep understanding of data and/or cloud securityStrong communicator adept at engaging both technical and business stakeholdersOver 10 years of technical sales experience in security15+ years in Software/SaaS/Enterprise technical salesPractical knowledge of AWS, Azure, or GCPFamiliarity with data privacy/security standards (e.g., GDPR, etc.)
Join our dynamic team at datawow as an AI/Data Management Associate in our Sales & Business Development Fast Track Program. We are seeking a dedicated Business Analyst who is enthusiastic about leveraging data to revolutionize business practices. Your role will be pivotal in identifying business challenges, formulating proposals, and presenting innovative solutions to our esteemed clients.Key Responsibilities:Research:Gain a comprehensive understanding of client contexts, industry landscapes, and technical requirements to enhance presentation pitches.Keep abreast of cutting-edge advancements in Tech, AI, and IT, along with their applications and use cases.Problem and Approach Framing:Assess business cases, anticipate client needs, deconstruct problem statements, and develop hypotheses.Gather and outline requirement specifications, transforming them into business conceptualization and analysis (fit & gap analysis) along with proposed solutions, functional designs, and implementation phases.Collaborate with Graphic Designers to produce top-quality deliverables, including presentation slides, solution plans, functional design documents, test reports, and training materials.Partner closely with the Chief Business Officer and Sales team to manage the AI project pipeline and other assigned projects.Client Management:Maintain clear and timely communication with clients.Facilitate input collection, organize meetings, and conduct workshops.Manage relationships with clients, including C-Level and Senior Executives.Coordinate with teams to oversee the project pitching pipeline.Internal Communication:Collaborate effectively with cross-functional stakeholders, including the CEO, CBO, CTO, Chief Data Scientist, Sales, and Tech teams.Lead meetings with various stakeholders and produce clear summaries, findings, and actionable next steps.Oversee resource allocation to ensure high-quality and timely pitching presentations, thus preventing lost opportunities.Monitor project deliverables and ensure timely completion.
Join agoda as an Assistant Manager/Manager in our Collections department in Bangkok. This is a fantastic opportunity to lead a team focused on optimizing our collections processes and driving customer satisfaction. You will be responsible for developing strategies to enhance collection efficiency, managing team performance, and ensuring compliance with company policies.
Key Responsibilities:Model Design & Development: Create and refine machine learning and deep learning models including Large Language Models (LLMs), Computer Vision, and Natural Language Processing (NLP) tailored to specific applications.Data Pipeline Development: Construct and maintain robust data ingestion and preprocessing pipelines to ensure the availability of high-quality datasets for both training and inference.Model Deployment & MLOps: Implement models in production settings (cloud or edge) and oversee the MLOps lifecycle, focusing on version control, CI/CD processes, and model performance monitoring.Optimization: Enhance model architectures and code for efficiency regarding latency, throughput, and cost-effectiveness while maintaining accuracy.Cross-Functional Collaboration: Partner with Data Scientists to enhance algorithms and collaborate with Software Engineers to integrate AI features into primary products.Continuous Learning: Keep abreast of emerging technologies and advancements in AI/ML frameworks such as PyTorch and TensorFlow to foster innovation.Assist in departmental initiatives.Adhere to project timelines.This position is part of our Early Career program at WD, aimed at nurturing individuals at the start of their professional journey through comprehensive training, mentorship, and development opportunities.
About AgodaAt Agoda, we unify the globe through travel. Our journey commenced in 2005 when two lifelong friends and entrepreneurs, fueled by their love for exploration, founded Agoda to simplify worldwide travel for everyone.Today, we are a proud member of Booking Holdings [NASDAQ: BKNG], with a diverse workforce of over 7,000 individuals from 90 countries collaborating in offices worldwide. Each day, we connect individuals to destinations and experiences through exceptional deals on millions of hotels, holiday properties, flights, and activities across the globe.No two days are alike at Agoda. Data and technology are the cornerstones of our culture, driving our curiosity and innovation. If you're prepared to embark on your greatest journey and contribute to shaping travel for the world, we invite you to join us.Meet Our TeamThe Agoda Finance team plays a pivotal role in our global expansion, harmonizing daily financial operations with an innovative, forward-thinking approach to risk management. Our culture embraces experimentation and data-driven insights, empowering both our team and the broader company to make informed strategic decisions for sustainable growth. We prioritize career advancement, providing clear pathways for development and growth for every team member.Your Opportunity The Credit Risk & Collections (CRC) team is a foundational element of our Finance organization, tasked with managing the entire revenue cycle—from order creation to the realization of cash. This team ensures that every sale is billed, collected, and accounted for accurately, supporting our objectives for liquidity, profitability, and customer satisfaction.The team oversees comprehensive processes, including billing & invoicing, payment mapping, credit management, collections, cash application, and account reconciliations. This department is vital to maintaining financial discipline, optimizing working capital, and driving continuous enhancements across our systems and processes.
Job Summary: Take the lead in developing comprehensive solutions utilizing Large Language Models (LLMs). Foster innovation and apply LLMs to address intricate business challenges effectively. Engage in cross-functional collaboration to create scalable and value-oriented LLM systems. Key Responsibilities: LLM-Centric Solution Development: Architect, refine, and deploy state-of-the-art LLMs for applications such as content generation, intelligent assistants, semantic search, and knowledge retrieval. Assess and select suitable foundational models (e.g., GPT, LLaMA, Mistral) and customize them for specific organizational needs. Develop modular and scalable pipelines for LLM applications, encompassing prompt engineering, inference optimization, and feedback mechanisms. Collaborative Project Contribution: Partner with Machine Learning Engineers, Data Engineers, DevOps Engineers, Developers, and stakeholders to establish project objectives and align model functionalities with business goals. Translate high-level requirements into actionable development strategies with clear KPIs. Support the end-to-end lifecycle of LLM projects from initial experimentation through to deployment. Technical Excellence: Remain abreast of the rapidly evolving landscape of LLMs, including open-source models, toolkits (e.g., Hugging Face, LangChain), and retrieval-augmented generation (RAG) frameworks. Optimize the cost, performance, and latency of LLM inference at scale. Ensure reproducibility, quality, and efficiency throughout LLM workflows. Effective Communication & Collaboration: Clearly articulate technical findings and solution designs to diverse audiences, both technical and non-technical. Contribute to internal LLM best practices and knowledge sharing. Provide technical support and informal mentoring regarding LLM topics across teams.
Welo Data, a division of Welocalize, stands at the forefront of AI data innovation, boasting a community of over 500,000 contributors dedicated to delivering high-quality, ethical data that fuels the world's most advanced AI systems. Our mission is to cultivate smarter, more human-centric AI through our diverse network spanning over 100 countries.At Welo Data, we believe in the mantra, Limitless AI. Limitless You. This is not merely a catchphrase; it embodies our commitment to harnessing human contributions for developing more intelligent AI solutions. We empower our global community with flexible opportunities to grow, contribute, and work on their own terms.Do you possess a keen eye for detail and a curiosity for technology? Welo Data is assembling a worldwide network of linguists, language lovers, and culturally aware contributors who are passionate about shaping AI that is not only smart but also safe. By joining our talent community, you’ll have priority access to flexible, remote projects involving annotation, evaluation, and prompt creation—always on your terms. Please note: This is not a current job opening. By applying, you will join our global contributor network. When a project matches your expertise and availability, we will reach out with comprehensive details, including the scope, timeline, and compensation. What You’ll Need- Native or near-native proficiency in Thai- Residing in: Thailand or Laos- Proficiency in English- Familiarity with digital tools- Detail-oriented and inquisitive Why Join Us? Limitless You – Choose when and where you work, with ample growth opportunities Limitless AI – Contribute to the evolution of smarter, more inclusive AI Become Part of Us – Engage with a global, supportive community About our projects:Welo Data projects vary in scope and complexity, each contributing to the development of more accurate, inclusive, and human-centered AI.Depending on your skills, you may: Annotate or label text, images, or audio for AI training Evaluate search results, advertisements, or chatbot responses for quality and relevance Develop and test prompts to enhance large language models (LLMs) Ensure content aligns with cultural, linguistic, or industry-specific standards.
Join Data Wow as a Data Engineer, where you'll collaborate with a talented team of Data Scientists and Data Analysts to design and implement robust data pipelines. This role offers the opportunity to work with cutting-edge data warehouse technologies and data ingestion tools while creating innovative proof of concept products tailored for our clients. You'll be an integral part of a dynamic team dedicated to delivering impactful data-driven solutions.Key Responsibilities Design, maintain, and optimize diverse data pipelines to ensure efficiency and reliability. Utilize data ingestion tools to streamline data acquisition. Enhance data warehouse performance and optimize resource utilization. Collaborate with Data Scientists to create proof of concept products that leverage machine learning models. Explore and implement new methodologies to improve existing data architecture.
Join Cube Asia as a Data Engineer, where you will leverage diverse methodologies to convert raw data into impactful data systems. Your role will focus on enhancing efficiency by ensuring that our data systems align with business objectives.Success in this role requires a solid background in large-scale public data collection from web sources, utilizing open APIs and various tools. A comprehensive understanding of the regulations and technical aspects surrounding such data collection is essential.Familiarity with multiple programming languages and a foundational knowledge of machine learning techniques are also crucial. If you are detail-oriented, possess strong organizational skills, and have experience in this domain, we want to hear from you!
Role Overview Bosch Group is hiring an AI Engineer at Hemaraj Eastern Seaboard Industrial Estate. This role focuses on building and improving artificial intelligence solutions that support Bosch products and services. What You Will Do Design AI algorithms and models tailored to real-world applications Develop and implement these solutions to enhance product capabilities Work closely with teams from different backgrounds to address complex challenges Collaboration Expect to partner with colleagues across disciplines. Problem-solving and sharing ideas are part of daily work as you help shape technologies with real impact.
Full-time|On-site|Suanluang, Krung Thep Maha Nakhon Bangkok, Thailand
Collaborate in integrating data systems with existing infrastructure.Streamline data collection and analysis processes, optimizing data release and reporting tools.Design innovative tools to enhance data flows between internal and external systems and the data warehouse.Enhance data searching, visualization, and advanced analytics capabilities.Oversee data cleansing, enrichment, and quality improvement initiatives.Create complex code, scripts, and data pipelines to process structured and unstructured data in near real-time.Develop prototypes and proof of concepts for selected solutions.Assist in establishing data flow channels and processing systems to extract, transform, load, and integrate data from various sources.Support the identification of both internal and external data sources.Monitor the performance of data systems to ensure efficiency and reliability.
