Experience Requirements:

• 1-3 years of business development experience in SaaS for Retail/D2C companies.

• Must have experience working with international markets such as North American and European markets.

Responsibilities:

• Generate qualified opportunities for the company by rigorously prospecting and researching in the assigned region/market using modern tools

• Do rigorous research on companies to assess opportunities

• Strike and initiate conversations, set up meetings & demos with relevant personas of companies you are prospecting.

Benefits:

• Hands-on experience in various HR functions and processes.

• Certificate of completion upon successful internship completion.

• Stipend, Snacks & Beverages, Informal Dresscode,Hybrid- Work Model

Education Requirements:

• Currently pursuing or recently completed a degree in Human Resources, Business Administration, Psychology, or a related field.

Responsibilities:

• Assist in posting job openings on various job boards, screening resumes, scheduling interviews, and coordinating with candidates.

• Help in preparing onboarding materials for new hires and assist in organizing orientation sessions.

• Maintain and update employee records, ensuring they are accurate and compliant with company policies.

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 12+ years of experience as a backend engineer with experience developing and operating microservices in a distributed environment.

• Experience leading a team of senior engineers

• Experience with Kubernetes, gRPC and Java.

• Experience deploying applications on one or more global cloud platforms (AWS/GCP/Azure).

• Operational excellence in monitoring/deploying/testing microservice architectures.

Responsibilities:

• As a backend engineer at Onehouse, you will get to build highly scalable and extremely reliable platform services, solving deep technical challenges across all of these areas. These distributed systems will be critical to supporting our multi region cloud microservices at scale.

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 3+ years of experience working directly with customers on technical engagements.

• 3+ years of experience with major cloud providers like AWS, GCP or Azure.

• 3+ years of deep experience with Apache Spark and knowledge on Spark’s runtime internals, query tuning, performance tuning, troubleshooting and debugging Spark solutions.

• Hand-on technical experience building, operating, and troubleshooting data engineering pipelines.

Responsibilities:

• Troubleshoot, resolve and suggest deep code-level analysis of Apache Hudi with Spark and Flink to address complex issues raised by OpenSource user/Onehouse customer

• Provide best practices guidance around Apache Hudi runtime performance and usage of Apache Hudi core libraries and APIs for custom-built solutions

• Help the Engineering/Product Team with detailed troubleshooting guides and runbook

Education Requirements:

• MS/BS in EE or CS

Experience Requirements:

• 5+ yrs developer experience required

Responsibilities:

• Design, Analyze and Develop Wireless systems

• Design wireless algorithms for wireless sensing, denoising for various real-world scenarios.

• Test and optimize the algorithms to meet real-time and performance requirements.

• Integrate sub-systems and test functionality at the system level along with other ML/AI algorithms.

• Measure and optimize to meet system-level performance and operational requirements

Education Requirements:

• Bachelor's Degree in Computer Science or equivalent experience

• Master's in Computer Science or equivalent experience

Experience Requirements:

• 2+ Years of job-related experience

Responsibilities:

• Design, build, and maintain data infrastructure for both production and internal research

• Design platform and tools to facilitate research

• Administer and maintain computing cluster

• Maintain production job scheduler

• Setup and Maintain authentication systems for API's

Education Requirements:

• Bachelors Degree in Computer Science or related field required

Experience Requirements:

• Minimum 2 years experience designing and implementing time series forecasting.

• Minimum 2 years experience designing and implementing machine learning solutions including supervised and unsupervised models.

Responsibilities:

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Train ML/AI algorithms and test them for accuracy, precision and recall.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 1-3 years’ work experience as a Jr. Sales Executive, Business Development Representative, or similar role

• Hands-on experience with selling to a cold prospect (you have the endurance to withstand all the people saying “no” to find the person who says “yes”)

• Track record of achieving objectives under metric-driven bonus plans

• Experience with CRM software

Responsibilities:

• Qualify leads from marketing campaigns as sales opportunities

• Contact potential clients through cold calls and emails

• Present our company to potential clients (Conferences, Tradeshows, Web Meetings, etc.)

• Identify client needs and suggest appropriate products/services

• Conduct demos of technology and value offering

Education Requirements:

• Bachelor’s Degree or equivalent in Computer Science / Engineering / Applied Mathematics / Applied Physics OR in Business

• Additional Certifications in IT areas will be an added advantage.

Experience Requirements:

• Prior experience of 6-8 or more years of work experience as Sales Executive, Business Development Representative, or similar role.

• Ideal candidate would have worked in either of the following industries: Selling software and SaaS solutions to Industrial and Manufacturers, and / or to OEMs who make Industrial machines, Telcom, Telco operators, Telecom OEMs who make connected devices and machines

• Hands-on experience with selling to a cold prospect (you have the endurance to withstand all the people saying “no” to find the person who says “yes”)

• Track record of achieving objectives under metric-driven bonus plans

• Experience with CRM software and MS Excel & PowerPoint (developing/analyzing spreadsheets, charts, and presentations)

Responsibilities:

• Conducting secondary market research, generating leads from marketing campaigns and own initiative to develop qualified sales opportunities

• Contacting potential clients through cold calling and emails and secondary lead generation for new business opportunities and proactively seeking new business opportunities in the market

• Setting up meetings and calls between qualified, prospective clients and the sales / delivery teams

• Increasing ‘wallet share’ from newly acquired business over time by way to expanding the scope of work/engagement

• Reporting to the leadership team on periodic basis (weekly/monthly/quarterly) on sales results and using customer relationship management (CRM) software to manage leads and sales activities and track progress towards meeting sales goals

Education Requirements:

• Bachelor’s Degree or equivalent in Computer Science / Engineering / Applied Mathematics / Business Management

• Additional Certifications in IT areas will be an added advantage.

Experience Requirements:

• Prior experience of 8-10+ years’ work experience as Sales Operation Lead, Sales Manager or similar role

• Ideal candidate would have worked in either of the following industries: Selling software and SaaS solutions to Industrial and Manufacturers, and / or to OEMs who make Industrial machines, Telcom, Telco operators, Telecom OEMs who make connected devices and machines

• Experience selling complex technical solutions to executive decision-makers.

• Strong leadership and managerial experience

• Experience with CRM software and MS Excel & PowerPoint (developing/analyzing spreadsheets, charts, and presentations)

Responsibilities:

• Developing new Enterprise-level client accounts as well as maintaining existing account relationships to achieve individual and team sales targets

• Building a database of prospects and managing sales pipeline

• Developing effective sales strategies in preparations for initial engagements

• Leveraging existing base of industry contacts and clients to promote company software and SaaS portfolio

• Increasing ‘wallet share’ from newly acquired business over time by way to expanding the scope of work/engagement

Education Requirements:

• Bachelor’s Degree or equivalent in Computer Science / Engineering / Applied Mathematics or Physics OR in Business Management

• Additional Certifications in IT areas will be an added advantage.

Experience Requirements:

• Prior experience of 1-3 years as a Sales Executive / Sales Development Representative, or a similar role.

• Ideal candidate would have worked in either of the following industries: Selling software and SaaS solutions to Industrial and Manufacturers, and / or to OEMs who make Industrial machines, Telcom, Telco operators, Telecom OEMs who make connected devices and machines

• Hands-on experience with selling to a cold prospect (you have the endurance to withstand all the people saying “no” to find the person who says “yes”)

• Track record of achieving objectives under metric-driven bonus plans

• Experience with CRM software and MS Excel & PowerPoint (developing/analyzing spreadsheets, charts, and presentations)

Responsibilities:

• Market study and scoping

• Collaborating with the sales team to develop strategies for reaching sales targets

• Identify potential customers and generate new business opportunities in priority industry segments

• Contacting and qualifying potential customers, setting appointments and following up on leads for closures by solutions / delivery teams

• Using customer relationship management (CRM) software to manage leads and sales activities and track progress towards meeting sales goals

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• 5-10+ years selling solutions into Manufacturing, Automotive OEM, and/or Security industry

• 5-10+ years of experience working within a Technology firm

• 5-10+ years of experience selling computer software, digital transformation services, and SaaS

• 5-10+ years of experience in Software Sales and Sales Management.

Responsibilities:

• Developing sales strategies that expand our channels and partnerships.

• Diving into market research and providing insight on new and existing verticals.

• Driving sales growth by developing processes that increase acquisition of new customers and expands our relationships with our current customer base.

• Monitoring leads, revenue pipeline and adjusting the process to create continued growth.

• Establishing both short-term results and long-term objectives.

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field or equivalent professional experience.

Experience Requirements:

• Strong experience in software development, particularly in Python and JavaScript.

• Strong experience in front-end frameworks such as React and Next.js.

• Experience in developing and deploying production full stack web applications.

• Experience in developing and deploying AI-based applications or services is a plus.

• Familiarity with back-end frameworks and databases (Node.js, SQL, NoSQL). Experience with cloud platforms (Google Cloud) and cloud-native technologies.

Other Requirements:

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

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

Responsibilities:

• Develop and maintain web applications, APIs, and tools that support our AI research and development.

• Collaborate with researchers and engineers to create public demos and internal PoC projects that showcase our advancements in AI.

• Develop and maintain open-source projects, ensuring they are accessible, well-documented, and easy to use for the community.

• Engage with the open-source community, providing support and incorporating feedback to improve our projects.

• Stay abreast of the latest AI research and technologies, suggesting and implementing innovative solutions to enhance our research and development efforts. Manage and optimize cloud-based infrastructure to ensure scalability, reliability, and performance.

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:

• 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

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:

• 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

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.