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Find the latest job opportunities in AI and tech
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Machine Operator
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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INDUSTRIAL MECHANICAL ENGINEER
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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Purchasing Staff
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
Other Requirements:
Send resume at given email
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Electrical Engineer
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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REGISTERED MASTER ELECTRICIAN
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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Accounting Staff
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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EXECUTIVE HOUSE HELPER
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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IMPEX STAFF
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
Experience Requirements:
Experience
Other Requirements:
Female only
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MARKETING STAFF
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
Experience Requirements:
Experience
Other Requirements:
Female
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PRODUCTION WORKER
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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AIRCON MAINTENANCE
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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Senior Product Designer
Identify hidden risks and avoid cost overruns in large-scale projects by using AI-driven analysis of unstructured documentation like emails, reports, and minutes.
Benefits:
4-day work week
Flexibility at work
Make Parenthood Matter programs
Experience Requirements:
Senior level
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Senior Frontend Developer (JavaScript / React)
Identify hidden risks and avoid cost overruns in large-scale projects by using AI-driven analysis of unstructured documentation like emails, reports, and minutes.
Benefits:
4-day work week
Flexibility at work
Make Parenthood Matter programs
Experience Requirements:
Senior level
JavaScript
React
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Software Engineer, Full-Stack
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience.
Experience Requirements:
A minimum of 4 years of professional experience in full-stack development
Focus on front-end engineering and API integration
Strong proficiency in HTML, CSS, and JavaScript
Extensive experience in React
Experience with gRPC for client-server communication
Other Requirements:
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work effectively both independently and as part of a team
Responsibilities:
Design, develop, and implement exceptional user interfaces
Collaborate closely with product managers, UX designers, and other stakeholders
Develop and maintain API integrations
Contribute to back-end development
Build, test, and deploy full-stack web applications
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Software Engineer, Machine Learning
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
Experience Requirements:
At least 2 years of industry experience in building and deploying production-level machine learning models
Deep understanding and practical experience with NLP techniques and frameworks
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch
Excellent skills in data processing (SQL, ETL, data warehousing)
Other Requirements:
Excellent problem-solving skills
Attention to detail
Strong capacity for logical thinking
Ability to work collaboratively in a fast-paced environment
Responsibilities:
Conceptualize, develop, and deploy machine learning models
Implement advanced machine learning algorithms
Process and analyze large, complex datasets
Work across the complete lifecycle of ML model development
Implement A/B testing and other statistical methods
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Software Engineer, Backend
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science or related field.
Experience Requirements:
At least 4 years of relevant work experience.
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis.
Knowledge of designing and building API platforms and integration systems.
Other Requirements:
Strong problem-solving skills
Attention to detail
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Develop and maintain enterprise software applications
Write clean, efficient, and maintainable code
Build scalable and reliable back-end systems
Develop and maintain APIs using REST and gRPC
Build and maintain scalable and extensible data schemas
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Software Engineer, DevOps
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's or Master's degree in Computer Science or related field.
Experience Requirements:
3+ years of experience in Infrastructure engineering, or a similar role
Experience with public cloud networks like AWS, Azure and GCP
Experience with Kubernetes, Helm, Terraform, and Istio
Knowledge of automation tools like Ansible
Experience with CI/CD pipelines
Other Requirements:
Excellent problem-solving skills
Ability to work under pressure in a fast-paced environment
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Partner with product teams to architect foundational infrastructure
Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions
Drive the automation of infrastructure tasks
Collaborate closely with the software development team to refine CI/CD pipelines
Architect and implement advanced observability solutions
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Software Engineering Lead, Backend
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science or related field.
Experience Requirements:
At least 4 years of relevant work experience.
Experience building products across the stack
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis.
Other Requirements:
Strong problem-solving skills
Attention to detail
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Develop and maintain enterprise software applications
Write clean, efficient, and maintainable code
Build scalable and reliable back-end systems
Develop and maintain APIs using REST or GraphQL
Integrate multiple enterprise applications and services
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Software Engineering Lead, Machine Learning
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
Experience Requirements:
Proven industry experience in building and deploying production-level machine learning models.
Deep understanding and practical experience with NLP techniques and frameworks.
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
Excellent skills in data processing (SQL, ETL, data warehousing).
Other Requirements:
Excellent problem-solving skills
Attention to detail
Strong capacity for logical thinking
Ability to work collaboratively in a fast-paced environment
Responsibilities:
Conceptualize, develop, and deploy machine learning models
Implement advanced machine learning algorithms
Lead the processing and analysis of large, complex datasets
Work across the complete lifecycle of ML model development
Implement A/B testing and other statistical methods
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Product Manager
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Education Requirements:
Bachelor’s degree in Business, Marketing, Computer Science, or a related field.
An MBA or equivalent experience is a plus.
Experience Requirements:
3-5 years of experience in product management, preferably in the tech or software industry.
Strong understanding of product development processes, including agile methodologies.
Ability to work with cross-functional teams and influence without direct authority.
Excellent communication, leadership, and problem-solving skills.
Analytical mindset with the ability to interpret data and make informed decisions.
Other Requirements:
Strong organizational and project management skills
Knowledge of user experience (UX) design principles
Responsibilities:
Define and communicate the product strategy and roadmap
Conduct market research and competitor analysis to identify opportunities
Collaborate with engineering, design, and marketing teams to deliver products
Prioritize product features, enhancements, and bug fixes
Manage the product development lifecycle
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