Job Summary: The Training Project Executive will be responsible for the end-to-end coordination, execution, and successful delivery of various training programs and projects. This role requires a highly organized individual with proven experience in managing training initiatives, from planning and logistical coordination to post-training evaluation. The ideal candidate will be a proactive problem-solver with excellent communication skills and a strong understanding of training methodologies and adult learning principles. Key Responsibilities: Training Project Management: Develop and manage comprehensive project plans for training initiatives, including timelines, resources, and deliverables. Coordinate with internal stakeholders (e.g., department heads, subject matter experts) and external vendors (e.g., trainers, consultants) to ensure smooth execution of training programs. Monitor project progress, identify potential risks, and implement mitigation strategies to ensure projects stay on track and within budget. Prepare and present project status reports to stakeholders. Program Coordination & Logistics: Handle all logistical arrangements for training sessions, including venue booking (physical and virtual), catering, materials preparation, and technical setup. Manage participant registration, communication, and attendance tracking. Oversee the distribution and collection of pre- and post-training materials, surveys, and assessments. Maintain accurate and up-to-date training records and databases. Content & Curriculum Support: Assist in the development, review, and updating of training materials, presentations, and job aids. Ensure training content is relevant, engaging, and aligned with learning objectives. Support the customization of existing training programs to meet specific departmental needs. Vendor Management: Liaise with external training providers and consultants, managing contracts, invoices, and performance. Evaluate potential new vendors and training solutions. Evaluation & Reporting: Implement evaluation methodologies to assess the effectiveness and impact of training programs (e.g., participant feedback, knowledge retention, behavioral change). Compile and analyze training data to generate reports on program effectiveness, participation rates, and return on investment (ROI). Provide insights and recommendations for continuous improvement of training offerings. Stakeholder Communication: Act as a primary point of contact for internal and external inquiries related to training programs. Communicate clearly and effectively with all stakeholders, ensuring they are informed of training schedules, objectives, and outcomes. Budget Management: Assist in managing the training budget, tracking expenses, and ensuring cost-effectiveness. Qualifications: Minimum of 2-3 years of demonstrable experience in a training coordination, training project management, or a similar role within a corporate or educational setting. Bachelor's degree in Human Resources, Business Administration, Education, or a related field. Proven track record of successfully coordinating and executing multiple training programs simultaneously. Strong understanding of the end-to-end training cycle, from needs assessment to evaluation. Excellent project management skills, with the ability to manage multiple priorities and deadlines. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and experience with Learning Management Systems (LMS) and virtual conferencing platforms (e.g., Zoom, Microsoft Teams). Exceptional organizational skills and attention to detail. Strong communication (written and verbal) and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Proactive, solution-oriented, and customer-focused mindset. Job Type: Permanent
Job Summary: The Training Project Executive will be responsible for the end-to-end coordination, execution, and successful delivery of various training programs and projects. This role requires a highly organized individual with proven experience in managing training initiatives, from planning and logistical coordination to post-training evaluation. The ideal candidate will be a proactive problem-solver with excellent communication skills and a strong understanding of training methodologies and adult learning principles. Key Responsibilities: Training Project Management: Develop and manage comprehensive project plans for training initiatives, including timelines, resources, and deliverables. Coordinate with internal stakeholders (e.g., department heads, subject matter experts) and external vendors (e.g., trainers, consultants) to ensure smooth execution of training programs. Monitor project progress, identify potential risks, and implement mitigation strategies to ensure projects stay on track and within budget. Prepare and present project status reports to stakeholders. Program Coordination & Logistics: Handle all logistical arrangements for training sessions, including venue booking (physical and virtual), catering, materials preparation, and technical setup. Manage participant registration, communication, and attendance tracking. Oversee the distribution and collection of pre- and post-training materials, surveys, and assessments. Maintain accurate and up-to-date training records and databases. Content & Curriculum Support: Assist in the development, review, and updating of training materials, presentations, and job aids. Ensure training content is relevant, engaging, and aligned with learning objectives. Support the customization of existing training programs to meet specific departmental needs. Vendor Management: Liaise with external training providers and consultants, managing contracts, invoices, and performance. Evaluate potential new vendors and training solutions. Evaluation & Reporting: Implement evaluation methodologies to assess the effectiveness and impact of training programs (e.g., participant feedback, knowledge retention, behavioral change). Compile and analyze training data to generate reports on program effectiveness, participation rates, and return on investment (ROI). Provide insights and recommendations for continuous improvement of training offerings. Stakeholder Communication: Act as a primary point of contact for internal and external inquiries related to training programs. Communicate clearly and effectively with all stakeholders, ensuring they are informed of training schedules, objectives, and outcomes. Budget Management: Assist in managing the training budget, tracking expenses, and ensuring cost-effectiveness. Qualifications: Minimum of 2-3 years of demonstrable experience in a training coordination, training project management, or a similar role within a corporate or educational setting. Bachelor's degree in Human Resources, Business Administration, Education, or a related field. Proven track record of successfully coordinating and executing multiple training programs simultaneously. Strong understanding of the end-to-end training cycle, from needs assessment to evaluation. Excellent project management skills, with the ability to manage multiple priorities and deadlines. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and experience with Learning Management Systems (LMS) and virtual conferencing platforms (e.g., Zoom, Microsoft Teams). Exceptional organizational skills and attention to detail. Strong communication (written and verbal) and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Proactive, solution-oriented, and customer-focused mindset. Job Type: Permanent
Job Summary: We are looking for a skilled Machine Learning Engineer to design, develop, and deploy cutting-edge AI agents and enhance our suite of office productivity applications with intelligent features. The ideal candidate will have a strong background in machine learning principles, hands-on experience with various ML frameworks, and a passion for creating practical, user-centric AI solutions. Responsibilities: Design, develop, and deploy machine learning models for AI agents to automate tasks, provide intelligent assistance, and improve user workflows. Integrate AI capabilities into existing and new office applications (e.g., natural language processing for document analysis, intelligent scheduling, data insights). Research and implement state-of-the-art machine learning algorithms and techniques. Collect, preprocess, and analyze large datasets to train and evaluate ML models. Collaborate with product managers, software engineers, and UX/UI designers to define requirements and deliver high-quality AI-powered features. Optimize ML models for performance, scalability, and efficiency. Monitor and maintain deployed models, ensuring their accuracy and reliability. Stay up-to-date with the latest advancements in AI, machine learning, and office productivity technologies. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. Proven experience (3 years) as a Machine Learning Engineer or similar role. Strong programming skills in Python. Proficiency with popular machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with natural language processing (NLP) techniques, including text classification, named entity recognition, sentiment analysis, and language generation. Demonstrated understanding and practical experience with cloud cost optimization techniques for ML workloads (e.g., resource rightsizing, auto-scaling, serverless functions, leveraging free tiers). Familiarity with developing conversational AI or chatbot systems. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying ML models is a plus. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Bonus Points (Optional): Experience with front-end development frameworks (e.g., React, Angular) for integrating AI features into user interfaces. Knowledge of MLOps practices for model deployment, monitoring, and versioning. Familiarity with agile development methodologies. Contributions to open-source projects. Job Types: Full-time, Permanent Schedule: Monday to Friday
About Us: MIT Academy empowers individuals and drives manufacturing and technology industry success by providing cutting-edge skills training in robotics, automation, IoT, and related engineering fields. We offer flexible learning and industry-recognized certifications to upskill graduates and the workforce, enhancing productivity across diverse sectors. We are committed to delivering accessible, technologically enhanced education and providing certifications from reputable bodies like the Department of Skills Development, Bosch Rexroth, Omron, Fanuc, and Lean Six Sigma. This ensures our graduates possess the validated expertise needed to excel and contribute to a thriving manufacturing and technology industry. Role Overview: We are seeking a highly motivated and experienced Talent Acquisition Specialist (Remote) to join our growing team. In this pivotal role, you will be responsible for sourcing, attracting, and hiring top-tier talent for various remote positions across our organization. You will play a crucial part in shaping our team by identifying candidates who not only possess the required skills but also thrive in a virtual work environment. This is an exciting opportunity for a self-starter who is passionate about connecting great talent with a forward-thinking, remote-first company. Key Responsibilities: Full-Cycle Recruitment: Manage the entire recruitment process from requisition to onboarding for a diverse range of remote roles (e.g., tech, marketing, sales, operations, etc.). Strategic Sourcing: Develop and execute innovative sourcing strategies using various channels, including online job boards, LinkedIn Recruiter, social media, professional networks, industry-specific communities, and direct outreach, to attract passive and active remote candidates globally. Candidate Assessment: Conduct thorough screening calls and virtual interviews to evaluate candidates' qualifications, experience, cultural fit, and ability to work effectively in a remote setting (e.g., communication skills, self-motivation, time management, technical proficiency). Hiring Manager Partnership: Collaborate closely with hiring managers to understand their specific talent needs, define job requirements, create compelling job descriptions tailored for remote positions, and refine selection criteria. Candidate Experience: Ensure an exceptional and positive candidate experience throughout the entire recruitment journey, providing timely communication, constructive feedback, and a seamless process. ATS Management: Maintain accurate and up-to-date candidate records within our Applicant Tracking System (ATS), ensuring data integrity and compliance. Market Research: Stay informed about remote work trends, talent market dynamics, compensation benchmarks, and best practices in remote recruitment. Employer Branding: Contribute to employer branding initiatives to attract top remote talent and promote our company as a remote-friendly and desirable workplace. Offer Management: Prepare and extend competitive job offers, negotiate compensation packages, and facilitate the smooth onboarding of new remote hires. Reporting: Track and analyze key recruitment metrics (e.g., time-to-hire, source of hire, candidate satisfaction) to identify areas for improvement and optimize recruitment strategies. Required Skills and Qualifications: Proven experience (3-5 years) in full-cycle talent acquisition or recruitment, with a strong emphasis on hiring for remote positions. Demonstrable success in sourcing and attracting high-quality candidates through various digital channels. Excellent written and verbal communication skills, with the ability to communicate effectively with candidates and internal stakeholders across different time zones. Proficiency with Applicant Tracking Systems (ATS) and other recruitment software (e.g., LinkedIn Recruiter, specialized sourcing tools). Strong organizational skills and the ability to manage multiple requisitions and priorities simultaneously in a fast-paced, remote environment. Self-motivated and able to work independently with minimal supervision, demonstrating strong initiative and problem-solving abilities. A deep understanding of the unique challenges and opportunities associated with remote work and distributed teams. High level of professionalism, integrity, and discretion when handling confidential information. Bachelor's degree in Human Resources, Business Administration, or a related field (or equivalent practical experience). Job Types: Full-time, Permanent Schedule: Monday to Friday
Job Summary We're seeking a passionate and certified Microsoft Trainer to join our team in Shah Alam, Selangor, Malaysia. In this role, you'll empower learners to leverage Microsoft's AI tools, focusing on Microsoft 365 Copilot , Azure AI Fundamentals (AI-900) , and AI Agent Development . You'll guide both technical and non-technical audiences in building practical AI solutions, from everyday Copilot use in Office apps to creating sophisticated AI agents with tools like Microsoft Copilot Studio and Azure Bot Service . Key Responsibilities · Deliver Training: Lead engaging, hands-on training sessions on Microsoft 365 Copilot, Azure AI Fundamentals, and AI Agent Development using Copilot Studio, Azure Bot Service, and Power Virtual Agents. · Create Content: Design and customize training materials, hands-on labs, and real-world projects to meet learner needs. · Facilitate Certification: Prepare participants for the AI-900 certification exam. · Stay Current: Continuously update your knowledge on Microsoft's evolving AI tools and services. · Assess and Report: Evaluate learner progress and provide feedback, including training reports and certifications. Qualifications Mandatory · Microsoft Certified: Azure AI Fundamentals (AI-900) . · Demonstrated proficiency with Microsoft 365 Copilot features. · roven experience building AI agents with Copilot Studio , Azure AI Studio , or Power Virtual Agents . · A minimum of two years' experience delivering technical training. · The ability to clearly explain complex AI concepts to diverse audiences. Preferred · Microsoft Certified Trainer (MCT) certification. · Experience with the Power Platform (Power BI, Power Automate, Power Apps). · Hands-on experience integrating LLMs , OpenAI services , or Microsoft Graph APIs . · Knowledge of Responsible AI frameworks and data governance. Soft Skills · Exceptional communication skills and a talent for public speaking. · Adaptability to different learner needs and training environments. · A passion for technology and a commitment to continuous learning. · Strong teamwork and collaboration abilities . Location & Work Environment This position is based in Shah Alam, Selangor, Malaysia , with flexibility for virtual, on-site, or hybrid training delivery. You will be responsible for the full training lifecycle, from setup and facilitation to client follow-up, ensuring training aligns with organizational goals. Job Types: Full-time, Permanent
Job Summary: We are looking for a skilled Machine Learning Engineer to design, develop, and deploy cutting-edge AI agents and enhance our suite of office productivity applications with intelligent features. The ideal candidate will have a strong background in machine learning principles, hands-on experience with various ML frameworks, and a passion for creating practical, user-centric AI solutions. Responsibilities: Design, develop, and deploy machine learning models for AI agents to automate tasks, provide intelligent assistance, and improve user workflows. Integrate AI capabilities into existing and new office applications (e.g., natural language processing for document analysis, intelligent scheduling, data insights). Research and implement state-of-the-art machine learning algorithms and techniques. Collect, preprocess, and analyze large datasets to train and evaluate ML models. Collaborate with product managers, software engineers, and UX/UI designers to define requirements and deliver high-quality AI-powered features. Optimize ML models for performance, scalability, and efficiency. Monitor and maintain deployed models, ensuring their accuracy and reliability. Stay up-to-date with the latest advancements in AI, machine learning, and office productivity technologies. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. Proven experience (3 years) as a Machine Learning Engineer or similar role. Strong programming skills in Python. Proficiency with popular machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with natural language processing (NLP) techniques, including text classification, named entity recognition, sentiment analysis, and language generation. Demonstrated understanding and practical experience with cloud cost optimization techniques for ML workloads (e.g., resource rightsizing, auto-scaling, serverless functions, leveraging free tiers). Familiarity with developing conversational AI or chatbot systems. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying ML models is a plus. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Bonus Points (Optional): Experience with front-end development frameworks (e.g., React, Angular) for integrating AI features into user interfaces. Knowledge of MLOps practices for model deployment, monitoring, and versioning. Familiarity with agile development methodologies. Contributions to open-source projects. Job Types: Full-time, Permanent
The IT System Administrator is responsible for the stable operation, maintenance, and security of the organization's computer systems, networks, and servers. This role involves ensuring optimal system performance, troubleshooting issues, implementing security measures, and providing technical support to end-users. The System Administrator plays a critical role in supporting the organization's technological infrastructure and ensuring business continuity. Key Responsibilities: System and Network Management: Install, configure, and maintain operating systems (Windows, Linux, macOS), software, and hardware (servers, workstations, printers, etc.). Manage and configure network equipment, including routers, switches, firewalls, and access points. Monitor system performance, network traffic, and server health to ensure optimal operation and identify potential bottlenecks or issues. Perform regular system updates, patching, and security configurations. Manage and maintain virtualized environments (e.g., VMware, Hyper-V). Administer and maintain network file systems and shared resources. Security and Data Protection: Implement and maintain robust security measures, including firewalls, intrusion detection/prevention systems (IDS/IPS), and antivirus solutions. Conduct regular security audits, vulnerability assessments, and penetration testing to identify and mitigate risks. Develop and execute data backup and disaster recovery plans, ensuring data integrity and business continuity. Manage user accounts, permissions, access rights, and Active Directory administration. Stay informed about emerging security threats and best practices. Technical Support and Troubleshooting: Provide technical support to users for hardware, software, and network-related issues, both in-person and remotely. Troubleshoot and resolve system failures, outages, and performance problems promptly to minimize downtime. Document troubleshooting steps and solutions for future reference. Assist with onboarding new employees by setting up user accounts and providing necessary access. Documentation and Improvement: Maintain comprehensive internal documentation of IT infrastructure, system configurations, processes, and procedures (e.g., via a Wiki). Lead or participate in process improvements and modifications to enhance IT efficiency and effectiveness. Research and recommend new technologies, products, and services to improve the IT environment. Collaboration and Communication: Collaborate with other IT teams and departments to ensure seamless integration and operation of systems. Communicate effectively with non-technical users to explain complex technical issues and provide solutions. Coordinate with vendors and external service providers as needed. Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field. Relevant certifications (e.g., CompTIA Network+, CompTIA Security+, Microsoft Certified: Azure Administrator Associate, Red Hat Certified System Administrator (RHCSA), VMware Certified Professional – Data Center Virtualization (VCP-DCV), CCNA) are highly desirable. Experience: Proven experience (typically 3-5+ years) as an IT System Administrator or in a similar role. Demonstrated experience with server administration (Windows Server, Linux servers). Experience with network administration, including configuring and troubleshooting network devices. Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud Platform) is a plus. Skills: Technical Proficiency: In-depth knowledge of various operating systems (Windows, Linux/Unix). Strong understanding of networking concepts (TCP/IP, DNS, DHCP, VPN, VLANs, routing, switching, firewalls). Experience with virtualization technologies. Proficiency in scripting languages (e.g., PowerShell, Bash, Python) for automation. Familiarity with database administration (SQL) is a plus. Knowledge of cybersecurity principles and practices. Ability to troubleshoot hardware, software, and network issues effectively. Problem-Solving: Excellent critical thinking and problem-solving skills to diagnose and resolve complex technical issues. Attention to Detail: Meticulous approach to system configuration, security, and documentation. Communication: Strong verbal and written communication skills to interact with technical and non-technical staff, and to create clear documentation. Adaptability: Ability to learn new technologies quickly and adapt to a rapidly evolving IT landscape. Time Management: Excellent organizational and time management skills to handle multiple tasks and priorities. Teamwork: Ability to work effectively as part of a team and independently. Working Conditions: Primarily office-based, with occasional travel to other sites if required. May be required to work outside of regular business hours for system maintenance, upgrades, or emergency support. May be on-call for critical system issues. Job Type: Permanent
Job Summary We're seeking a passionate and certified Microsoft Trainer to join our team in Shah Alam, Selangor, Malaysia. In this role, you'll empower learners to leverage Microsoft's AI tools, focusing on Microsoft 365 Copilot , Azure AI Fundamentals (AI-900) , and AI Agent Development . You'll guide both technical and non-technical audiences in building practical AI solutions, from everyday Copilot use in Office apps to creating sophisticated AI agents with tools like Microsoft Copilot Studio and Azure Bot Service . Key Responsibilities · Deliver Training: Lead engaging, hands-on training sessions on Microsoft 365 Copilot, Azure AI Fundamentals, and AI Agent Development using Copilot Studio, Azure Bot Service, and Power Virtual Agents. · Create Content: Design and customize training materials, hands-on labs, and real-world projects to meet learner needs. · Facilitate Certification: Prepare participants for the AI-900 certification exam. · Stay Current: Continuously update your knowledge on Microsoft's evolving AI tools and services. · Assess and Report: Evaluate learner progress and provide feedback, including training reports and certifications. Qualifications Mandatory · Microsoft Certified: Azure AI Fundamentals (AI-900) . · Demonstrated proficiency with Microsoft 365 Copilot features. · roven experience building AI agents with Copilot Studio , Azure AI Studio , or Power Virtual Agents . · A minimum of two years' experience delivering technical training. · The ability to clearly explain complex AI concepts to diverse audiences. Preferred · Microsoft Certified Trainer (MCT) certification. · Experience with the Power Platform (Power BI, Power Automate, Power Apps). · Hands-on experience integrating LLMs , OpenAI services , or Microsoft Graph APIs . · Knowledge of Responsible AI frameworks and data governance. Soft Skills · Exceptional communication skills and a talent for public speaking. · Adaptability to different learner needs and training environments. · A passion for technology and a commitment to continuous learning. · Strong teamwork and collaboration abilities . Location & Work Environment This position is based in Shah Alam, Selangor, Malaysia , with flexibility for virtual, on-site, or hybrid training delivery. You will be responsible for the full training lifecycle, from setup and facilitation to client follow-up, ensuring training aligns with organizational goals. Job Types: Full-time, Permanent
Job Title: Machine Learning Engineer Location: MIT Academy Office, Malaysia About Us: MIT Academy is at the forefront of providing advanced training in emerging technologies such as robotics, automation, artificial intelligence, and engineering disciplines. Our mission is to equip students and professionals with industry-relevant skills that prepare them for tomorrow’s career challenges. We are seeking a passionate Machine Learning Engineer with hands-on experience to support our AI-driven learning platforms and projects. Job Summary: We are looking for a skilled Machine Learning Engineer with more than 2 years of relevant experience to design, develop, and deploy machine learning models and solutions that enhance MIT Academy’s educational and training platforms. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience with data processing and model optimization in real-world scenarios. Key Responsibilities: Design, implement, and deploy machine learning models to solve educational and business challenges. Collaborate with cross-functional teams to understand data requirements and create scalable ML pipelines. Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights. Train, test, and validate models to ensure robustness, accuracy, and fairness. Optimize algorithms for performance and scalability using appropriate tools and frameworks. Integrate ML solutions into existing platforms such as learning management systems and recommendation engines. Stay updated with the latest advancements in AI/ML technologies and suggest improvements. Document workflows, model architectures, and evaluation metrics to support reproducibility and knowledge sharing. Provide technical guidance and mentorship to junior team members. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or a related field. More than 2 years of experience in machine learning engineering, data science, or AI development. Strong programming skills in Python, R, or similar languages. Hands-on experience with ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras. Solid understanding of supervised and unsupervised learning algorithms, neural networks, and deep learning architectures. Experience in data processing, model evaluation, and deployment pipelines. Knowledge of cloud services (AWS, GCP, Azure) and containerization tools like Docker is a plus. Good problem-solving skills and attention to detail. Excellent communication skills and the ability to explain complex concepts clearly. Preferred Qualifications: Experience working with recommendation systems, computer vision, NLP, or reinforcement learning. Published research papers or participation in AI competitions like Kaggle. Knowledge of big data tools such as Spark or Hadoop. Why Join MIT Academy: Work on cutting-edge AI projects that impact education and skill development. Collaborate with a team of innovators and experts passionate about technology-driven learning. Access professional development opportunities and continuous learning resources. Contribute to programs that help students and professionals achieve their career goals. Job Type: Full-time
Job Title: Machine Learning Engineer Location: MIT Academy Office, Malaysia About Us: MIT Academy is at the forefront of providing advanced training in emerging technologies such as robotics, automation, artificial intelligence, and engineering disciplines. Our mission is to equip students and professionals with industry-relevant skills that prepare them for tomorrow’s career challenges. We are seeking a passionate Machine Learning Engineer with hands-on experience to support our AI-driven learning platforms and projects. Job Summary: We are looking for a skilled Machine Learning Engineer with more than 2 years of relevant experience to design, develop, and deploy machine learning models and solutions that enhance MIT Academy’s educational and training platforms. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience with data processing and model optimization in real-world scenarios. Key Responsibilities: Design, implement, and deploy machine learning models to solve educational and business challenges. Collaborate with cross-functional teams to understand data requirements and create scalable ML pipelines. Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights. Train, test, and validate models to ensure robustness, accuracy, and fairness. Optimize algorithms for performance and scalability using appropriate tools and frameworks. Integrate ML solutions into existing platforms such as learning management systems and recommendation engines. Stay updated with the latest advancements in AI/ML technologies and suggest improvements. Document workflows, model architectures, and evaluation metrics to support reproducibility and knowledge sharing. Provide technical guidance and mentorship to junior team members. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or a related field. More than 2 years of experience in machine learning engineering, data science, or AI development. Strong programming skills in Python, R, or similar languages. Hands-on experience with ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras. Solid understanding of supervised and unsupervised learning algorithms, neural networks, and deep learning architectures. Experience in data processing, model evaluation, and deployment pipelines. Knowledge of cloud services (AWS, GCP, Azure) and containerization tools like Docker is a plus. Good problem-solving skills and attention to detail. Excellent communication skills and the ability to explain complex concepts clearly. Preferred Qualifications: Experience working with recommendation systems, computer vision, NLP, or reinforcement learning. Published research papers or participation in AI competitions like Kaggle. Knowledge of big data tools such as Spark or Hadoop. Why Join MIT Academy: Work on cutting-edge AI projects that impact education and skill development. Collaborate with a team of innovators and experts passionate about technology-driven learning. Access professional development opportunities and continuous learning resources. Contribute to programs that help students and professionals achieve their career goals. Job Type: Permanent
Job Title: Machine Learning Engineer Location: MIT Academy Office, Malaysia About Us: MIT Academy is at the forefront of providing advanced training in emerging technologies such as robotics, automation, artificial intelligence, and engineering disciplines. Our mission is to equip students and professionals with industry-relevant skills that prepare them for tomorrow’s career challenges. We are seeking a passionate Machine Learning Engineer with hands-on experience to support our AI-driven learning platforms and projects. Job Summary: We are looking for a skilled Machine Learning Engineer with more than 2 years of relevant experience to design, develop, and deploy machine learning models and solutions that enhance MIT Academy’s educational and training platforms. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience with data processing and model optimization in real-world scenarios. Key Responsibilities: Design, implement, and deploy machine learning models to solve educational and business challenges. Collaborate with cross-functional teams to understand data requirements and create scalable ML pipelines. Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights. Train, test, and validate models to ensure robustness, accuracy, and fairness. Optimize algorithms for performance and scalability using appropriate tools and frameworks. Integrate ML solutions into existing platforms such as learning management systems and recommendation engines. Stay updated with the latest advancements in AI/ML technologies and suggest improvements. Document workflows, model architectures, and evaluation metrics to support reproducibility and knowledge sharing. Provide technical guidance and mentorship to junior team members. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or a related field. More than 2 years of experience in machine learning engineering, data science, or AI development. Strong programming skills in Python, R, or similar languages. Hands-on experience with ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras. Solid understanding of supervised and unsupervised learning algorithms, neural networks, and deep learning architectures. Experience in data processing, model evaluation, and deployment pipelines. Knowledge of cloud services (AWS, GCP, Azure) and containerization tools like Docker is a plus. Good problem-solving skills and attention to detail. Excellent communication skills and the ability to explain complex concepts clearly. Preferred Qualifications: Experience working with recommendation systems, computer vision, NLP, or reinforcement learning. Published research papers or participation in AI competitions like Kaggle. Knowledge of big data tools such as Spark or Hadoop. Why Join MIT Academy: Work on cutting-edge AI projects that impact education and skill development. Collaborate with a team of innovators and experts passionate about technology-driven learning. Access professional development opportunities and continuous learning resources. Contribute to programs that help students and professionals achieve their career goals. Job Type: Permanent
Company Profile Established in 1976 as a rattan furniture manufacturer under Cosmopolitan Business Agencies (CBA), the company has changed its operations to training and consultancy in 1989. In 2004, CBA officially changed its name to MIT Academy Sdn Bhd. MT Academy is the technical college offering diploma courses for mechatronics and mechanical engineering to school leavers accredited by Ministry of Education and Department of Skills Development (DSD). To date, we have provided education and training to almost 5,000 students and trainees throughout Malaysia and Vietnam. Global conglomerate, Bosch Rexroth, the German lead of Industry 4.0 and OMRON (Japan) have appointed MIT Academy to operate Licensed Training Centre Programmes to up-skill engineers and technicians in Malaysia. MIT Academy is also the Authorised Training Centre of Autodesk (US) and Technology Partner of Fanuc (Japan). Beginning 2019, we have launched the first STEM school called MITstem International School in Malaysia. At MITstem, we are committed to provide meticulous and technological enhanced curriculum and learning experiences. Our students will gain Cambridge IGCSE certificate, STEM certification, Licensed Technology Certificate and STEMera hybrid certificate when completing the secondary education successfully. Work Location: Kota Kemuning, Shah Alam, Selangor, Malaysia Marketing and Sales Job Purpose: Researches and develops various marketing strategies for programmes and services. Implements marketing plans and works to meet sales quotas. Tracks marketing and sales data and identifies areas of improvement. Marketing and Sales Job Duties: Contributes information, ideas, and research to help develop marketing strategies Helps to detail, design, and implement marketing plans for each programme or service being offered Sets marketing schedules and coordinates with colleagues, sponsors, media representatives, and other professionals to implement strategies across multiple channels Develops sales strategies and approaches for various programmes and services, such as special promotions, sponsored events, etc. Answers questions from clients about programme and service benefits Maintains excellent relationships with clients through superior customer service Tracks sales data and works to meet quotas or sales team goals Analyses trends, data, demographics, pricing strategies, and other information that can potentially improve marketing and sales performance Creates and presents regular performance reports for managers and executives Helps to interview, hire, manage, and direct members of the company's marketing and sales teams Assigns specific employees to marketing and sales projects or client accounts as needed Implements and adheres to company policies and procedures Attends trade shows and travels to conduct sales and marketing activities as needed Marketing and Sales Skills and Qualifications: Bachelor's Degree in Marketing, Business or a Related Field, Customer Service, Client Relationships, Interpersonal Communication, Marketing Strategies, Product Development, Creativity, Financial Strategy, Data Tracking, Written and Verbal Communication, Organisation, Planning, Research and Analysis, People Management, Leadership Job Type: Permanent
Job description Location : Onsite ,Shah Alam, Selangor, Malaysia We are looking for a talented, diligent system administrator to maintain and administer our company's networked system of computers. The system administrator's responsibilities include troubleshooting hardware, software, and networking issues, as well as ensuring that all computing operations run with optimal performance and security. To be successful as a system administrator, you should have an excellent ability to solve problems using your in-depth understanding of information systems and computing solutions. The best system administrator will also be a team player, willing to handle all support requests with courtesy and professionalism. System Administrator Responsibilities: Configuring and maintaining the networked computer system, including hardware, system software, and applications. Ensuring data is stored securely and backed up regularly. Diagnosing and resolving hardware, software, networking, and system issues when they arise. Replacing and upgrading defective or outdated components when necessary. Monitoring system performance to ensure everything runs smoothly and securely. Researching and recommending new approaches to improve the networked computer system. Providing technical support when requested. Documenting any processes which employees need to follow in order to successfully work within our computing system. System Administrator Requirements: Relevant degree in Science, Mathematics, and Computing, Information systems or information technology. Microsoft MCSE certification or similar. Past experience administering server-side technology and networked computing systems. Familiarity with SQL and database operations. Ability to prioritize a wide range of workloads with critical deadlines. Availability outside of working hours to resolve emergency issues promptly. Excellent critical thinking and problem-solving skills. Patient and professional demeanor, with a can-do attitude. Job Types: Full-time, Permanent Job Type: Full-time Work Location: In person
Job description Location : Onsite ,Shah Alam, Selangor, Malaysia We are looking for a talented, diligent system administrator to maintain and administer our company's networked system of computers. The system administrator's responsibilities include troubleshooting hardware, software, and networking issues, as well as ensuring that all computing operations run with optimal performance and security. To be successful as a system administrator, you should have an excellent ability to solve problems using your in-depth understanding of information systems and computing solutions. The best system administrator will also be a team player, willing to handle all support requests with courtesy and professionalism. System Administrator Responsibilities: Configuring and maintaining the networked computer system, including hardware, system software, and applications. Ensuring data is stored securely and backed up regularly. Diagnosing and resolving hardware, software, networking, and system issues when they arise. Replacing and upgrading defective or outdated components when necessary. Monitoring system performance to ensure everything runs smoothly and securely. Researching and recommending new approaches to improve the networked computer system. Providing technical support when requested. Documenting any processes which employees need to follow in order to successfully work within our computing system. System Administrator Requirements: Relevant degree in Science, Mathematics, and Computing, Information systems or information technology. Microsoft MCSE certification or similar. Past experience administering server-side technology and networked computing systems. Familiarity with SQL and database operations. Ability to prioritize a wide range of workloads with critical deadlines. Availability outside of working hours to resolve emergency issues promptly. Excellent critical thinking and problem-solving skills. Patient and professional demeanor, with a can-do attitude. Job Types: Full-time, Permanent Job Type: Full-time Work Location: In person
The Robotic Trainer is responsible for developing, delivering, and evaluating training programs related to the operation, programming, maintenance, and troubleshooting of industrial and/or service robots. This role plays a critical part in upskilling students/trainees , ensuring safe and efficient robotic operations, and maximizing the return on investment in robotic technology. The ideal candidate will possess strong technical expertise in robotics, exceptional communication and instructional skills, a proven track record of teaching both students and adult professionals, a passion for knowledge transfer within an industrial context, and experience in developing successful proposals. Key Responsibilities: Curriculum Development: Design, develop, and update comprehensive training curricula, modules, and materials (e.g., presentations, manuals, exercises, simulations) for various robotic platforms and applications. Identify training needs through collaboration with engineering, production, and maintenance teams, and assess skill gaps. Incorporate industry best practices, safety standards (e.g., ISO 10218, RIA TR R15.06), and company-specific procedures into training content. Training Delivery: Conduct engaging and effective hands-on and classroom-based training sessions for diverse audiences, including students , engineers, technicians, operators, and maintenance personnel. Provide clear and concise instruction on robot programming (e.g., teach pendant, offline programming software), operation, calibration, routine maintenance, and advanced troubleshooting techniques. Facilitate practical exercises, simulations, and real-world scenarios to reinforce learning and develop practical skills. Adapt training delivery methods and content to suit different learning styles and technical proficiencies. Assessment & Evaluation: Develop and administer assessments (e.g., quizzes, practical tests) to evaluate trainee comprehension and skill acquisition. Provide constructive feedback to trainees and track their progress. Evaluate the effectiveness of training programs and materials, and recommend improvements based on feedback and performance metrics. Technical Expertise & Support: Stay up-to-date with the latest advancements in robotics technology, software, and industry trends. Act as a subject matter expert and provide technical support and guidance to students/trainees regarding robotic systems. Assist in the development of standard operating procedures (SOPs) and safety protocols related to robotics. Troubleshoot complex robotic issues and use real-world examples in training. Documentation & Reporting: Maintain accurate records of training sessions, attendance, and trainee performance. Prepare training reports and provide updates to management on training progress and effectiveness. Document new training procedures and updates to existing materials. Collaboration & Communication: Work closely with engineers, maintenance technicians, production supervisors, and equipment vendors to ensure training aligns with operational needs and equipment specifications. Communicate effectively with all levels of the organization regarding training schedules, requirements, and outcomes. Develop and present training proposals, outlining scope, objectives, methodology, timelines, and resource requirements. Qualifications: Education: Bachelor's degree in Robotics, Automation, Electrical Engineering, Mechanical Engineering, Mechatronics, or a closely related technical field. Relevant certifications in specific robot brands (e.g., FANUC, KUKA, ABB, Universal Robots, Yaskawa, Kawasaki) are highly desirable. Formal training or certification in adult education or instructional design is a plus. Experience: Minimum of 2 - 5 years of hands-on experience with industrial robots (e.g., welding, assembly, material handling, pick-and-place, collaborative robots) in a manufacturing or industrial environment. Proven experience in programming, operating, maintaining, and troubleshooting robotic systems. Demonstrable experience teaching and training both students (e.g., academic, vocational, high school) and adult professionals (e.g., industry students/trainees, technicians, engineers). Significant experience in delivering industry-specific training within manufacturing, automation, or a related technical sector. Proven experience in developing and writing compelling technical proposals for training programs, projects, or grants. Experience working on international projects or with diverse global teams is highly preferred. Prior experience in a dedicated training, teaching, or instructional role is essential, preferably in a technical or industrial setting. Technical Skills: In-depth knowledge of robotic kinematics, dynamics, and control systems. Proficiency in robot programming languages (e.g., KAREL, RAPID, TP, VAL, URScript, C++, Python for robotics). Familiarity with various robot brands and their programming environments. Understanding of PLC programming and integration with robotic systems. Knowledge of robotic safety standards and risk assessment procedures. Familiarity with vision systems, grippers, and other robotic peripherals. Experience with CAD/CAM software for offline programming is a plus. Soft Skills: Exceptional presentation, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Excellent organizational and time management skills. Ability to explain complex technical concepts in a clear, concise, and understandable manner. Patience, adaptability, and a genuine passion for teaching. Self-motivated and able to work independently as well as part of a team. Cultural sensitivity and the ability to work effectively with individuals from diverse backgrounds. Working Conditions: May involve working in a manufacturing or industrial environment, which may include exposure to noise, machinery, and varying temperatures. Some travel may be required to other company locations or client sites for training delivery, including potential international travel. Ability to stand for extended periods, lift moderate weight, and perform hands-on demonstrations. Job Type: Permanent Work Location: In person
The Robotic Trainer is responsible for developing, delivering, and evaluating training programs related to the operation, programming, maintenance, and troubleshooting of industrial and/or service robots. This role plays a critical part in upskilling students/trainees , ensuring safe and efficient robotic operations, and maximizing the return on investment in robotic technology. The ideal candidate will possess strong technical expertise in robotics, exceptional communication and instructional skills, a proven track record of teaching both students and adult professionals, a passion for knowledge transfer within an industrial context, and experience in developing successful proposals. Key Responsibilities: Curriculum Development: Design, develop, and update comprehensive training curricula, modules, and materials (e.g., presentations, manuals, exercises, simulations) for various robotic platforms and applications. Identify training needs through collaboration with engineering, production, and maintenance teams, and assess skill gaps. Incorporate industry best practices, safety standards (e.g., ISO 10218, RIA TR R15.06), and company-specific procedures into training content. Training Delivery: Conduct engaging and effective hands-on and classroom-based training sessions for diverse audiences, including students , engineers, technicians, operators, and maintenance personnel. Provide clear and concise instruction on robot programming (e.g., teach pendant, offline programming software), operation, calibration, routine maintenance, and advanced troubleshooting techniques. Facilitate practical exercises, simulations, and real-world scenarios to reinforce learning and develop practical skills. Adapt training delivery methods and content to suit different learning styles and technical proficiencies. Assessment & Evaluation: Develop and administer assessments (e.g., quizzes, practical tests) to evaluate trainee comprehension and skill acquisition. Provide constructive feedback to trainees and track their progress. Evaluate the effectiveness of training programs and materials, and recommend improvements based on feedback and performance metrics. Technical Expertise & Support: Stay up-to-date with the latest advancements in robotics technology, software, and industry trends. Act as a subject matter expert and provide technical support and guidance to students/trainees regarding robotic systems. Assist in the development of standard operating procedures (SOPs) and safety protocols related to robotics. Troubleshoot complex robotic issues and use real-world examples in training. Documentation & Reporting: Maintain accurate records of training sessions, attendance, and trainee performance. Prepare training reports and provide updates to management on training progress and effectiveness. Document new training procedures and updates to existing materials. Collaboration & Communication: Work closely with engineers, maintenance technicians, production supervisors, and equipment vendors to ensure training aligns with operational needs and equipment specifications. Communicate effectively with all levels of the organization regarding training schedules, requirements, and outcomes. Develop and present training proposals, outlining scope, objectives, methodology, timelines, and resource requirements. Qualifications: Education: Bachelor's degree in Robotics, Automation, Electrical Engineering, Mechanical Engineering, Mechatronics, or a closely related technical field. Relevant certifications in specific robot brands (e.g., FANUC, KUKA, ABB, Universal Robots, Yaskawa, Kawasaki) are highly desirable. Formal training or certification in adult education or instructional design is a plus. Experience: Minimum of 2 - 5 years of hands-on experience with industrial robots (e.g., welding, assembly, material handling, pick-and-place, collaborative robots) in a manufacturing or industrial environment. Proven experience in programming, operating, maintaining, and troubleshooting robotic systems. Demonstrable experience teaching and training both students (e.g., academic, vocational, high school) and adult professionals (e.g., industry students/trainees, technicians, engineers). Significant experience in delivering industry-specific training within manufacturing, automation, or a related technical sector. Proven experience in developing and writing compelling technical proposals for training programs, projects, or grants. Experience working on international projects or with diverse global teams is highly preferred. Prior experience in a dedicated training, teaching, or instructional role is essential, preferably in a technical or industrial setting. Technical Skills: In-depth knowledge of robotic kinematics, dynamics, and control systems. Proficiency in robot programming languages (e.g., KAREL, RAPID, TP, VAL, URScript, C++, Python for robotics). Familiarity with various robot brands and their programming environments. Understanding of PLC programming and integration with robotic systems. Knowledge of robotic safety standards and risk assessment procedures. Familiarity with vision systems, grippers, and other robotic peripherals. Experience with CAD/CAM software for offline programming is a plus. Soft Skills: Exceptional presentation, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Excellent organizational and time management skills. Ability to explain complex technical concepts in a clear, concise, and understandable manner. Patience, adaptability, and a genuine passion for teaching. Self-motivated and able to work independently as well as part of a team. Cultural sensitivity and the ability to work effectively with individuals from diverse backgrounds. Working Conditions: May involve working in a manufacturing or industrial environment, which may include exposure to noise, machinery, and varying temperatures. Some travel may be required to other company locations or client sites for training delivery, including potential international travel. Ability to stand for extended periods, lift moderate weight, and perform hands-on demonstrations. Job Type: Permanent Work Location: In person
Please note : This position is for Onsite Malaysia Location . The Robotic Trainer is responsible for developing, delivering, and evaluating training programs related to the operation, programming, maintenance, and troubleshooting of industrial and/or service robots. This role plays a critical part in upskilling students/trainees , ensuring safe and efficient robotic operations, and maximizing the return on investment in robotic technology. The ideal candidate will possess strong technical expertise in robotics, exceptional communication and instructional skills, a proven track record of teaching both students and adult professionals, a passion for knowledge transfer within an industrial context, and experience in developing successful proposals. Key Responsibilities: Curriculum Development: Design, develop, and update comprehensive training curricula, modules, and materials (e.g., presentations, manuals, exercises, simulations) for various robotic platforms and applications. Identify training needs through collaboration with engineering, production, and maintenance teams, and assess skill gaps. Incorporate industry best practices, safety standards (e.g., ISO 10218, RIA TR R15.06), and company-specific procedures into training content. Training Delivery: Conduct engaging and effective hands-on and classroom-based training sessions for diverse audiences, including students , engineers, technicians, operators, and maintenance personnel. Provide clear and concise instruction on robot programming (e.g., teach pendant, offline programming software), operation, calibration, routine maintenance, and advanced troubleshooting techniques. Facilitate practical exercises, simulations, and real-world scenarios to reinforce learning and develop practical skills. Adapt training delivery methods and content to suit different learning styles and technical proficiencies. Assessment & Evaluation: Develop and administer assessments (e.g., quizzes, practical tests) to evaluate trainee comprehension and skill acquisition. Provide constructive feedback to trainees and track their progress. Evaluate the effectiveness of training programs and materials, and recommend improvements based on feedback and performance metrics. Technical Expertise & Support: Stay up-to-date with the latest advancements in robotics technology, software, and industry trends. Act as a subject matter expert and provide technical support and guidance to students/trainees regarding robotic systems. Assist in the development of standard operating procedures (SOPs) and safety protocols related to robotics. Troubleshoot complex robotic issues and use real-world examples in training. Documentation & Reporting: Maintain accurate records of training sessions, attendance, and trainee performance. Prepare training reports and provide updates to management on training progress and effectiveness. Document new training procedures and updates to existing materials. Collaboration & Communication: Work closely with engineers, maintenance technicians, production supervisors, and equipment vendors to ensure training aligns with operational needs and equipment specifications. Communicate effectively with all levels of the organization regarding training schedules, requirements, and outcomes. Develop and present training proposals, outlining scope, objectives, methodology, timelines, and resource requirements. Qualifications: Education: Bachelor's degree in Robotics, Automation, Electrical Engineering, Mechanical Engineering, Mechatronics, or a closely related technical field. Relevant certifications in specific robot brands (e.g., FANUC, KUKA, ABB, Universal Robots, Yaskawa, Kawasaki) are highly desirable. Formal training or certification in adult education or instructional design is a plus. Experience: Minimum of 2 - 5 years of hands-on experience with industrial robots (e.g., welding, assembly, material handling, pick-and-place, collaborative robots) in a manufacturing or industrial environment. Proven experience in programming, operating, maintaining, and troubleshooting robotic systems. Demonstrable experience teaching and training both students (e.g., academic, vocational, high school) and adult professionals (e.g., industry students/trainees, technicians, engineers). Significant experience in delivering industry-specific training within manufacturing, automation, or a related technical sector. Proven experience in developing and writing compelling technical proposals for training programs, projects, or grants. Experience working on international projects or with diverse global teams is highly preferred. Prior experience in a dedicated training, teaching, or instructional role is essential, preferably in a technical or industrial setting. Technical Skills: In-depth knowledge of robotic kinematics, dynamics, and control systems. Proficiency in robot programming languages (e.g., KAREL, RAPID, TP, VAL, URScript, C++, Python for robotics). Familiarity with various robot brands and their programming environments. Understanding of PLC programming and integration with robotic systems. Knowledge of robotic safety standards and risk assessment procedures. Familiarity with vision systems, grippers, and other robotic peripherals. Experience with CAD/CAM software for offline programming is a plus. Soft Skills: Exceptional presentation, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Excellent organizational and time management skills. Ability to explain complex technical concepts in a clear, concise, and understandable manner. Patience, adaptability, and a genuine passion for teaching. Self-motivated and able to work independently as well as part of a team. Cultural sensitivity and the ability to work effectively with individuals from diverse backgrounds. Working Conditions: May involve working in a manufacturing or industrial environment, which may include exposure to noise, machinery, and varying temperatures. Some travel may be required to other company locations or client sites for training delivery, including potential international travel. Ability to stand for extended periods, lift moderate weight, and perform hands-on demonstrations. Job Type: Permanent Work Location: In person
Please note : This position is for Onsite Malaysia Location . The Robotic Trainer is responsible for developing, delivering, and evaluating training programs related to the operation, programming, maintenance, and troubleshooting of industrial and/or service robots. This role plays a critical part in upskilling students/trainees , ensuring safe and efficient robotic operations, and maximizing the return on investment in robotic technology. The ideal candidate will possess strong technical expertise in robotics, exceptional communication and instructional skills, a proven track record of teaching both students and adult professionals, a passion for knowledge transfer within an industrial context, and experience in developing successful proposals. Key Responsibilities: Curriculum Development: Design, develop, and update comprehensive training curricula, modules, and materials (e.g., presentations, manuals, exercises, simulations) for various robotic platforms and applications. Identify training needs through collaboration with engineering, production, and maintenance teams, and assess skill gaps. Incorporate industry best practices, safety standards (e.g., ISO 10218, RIA TR R15.06), and company-specific procedures into training content. Training Delivery: Conduct engaging and effective hands-on and classroom-based training sessions for diverse audiences, including students , engineers, technicians, operators, and maintenance personnel. Provide clear and concise instruction on robot programming (e.g., teach pendant, offline programming software), operation, calibration, routine maintenance, and advanced troubleshooting techniques. Facilitate practical exercises, simulations, and real-world scenarios to reinforce learning and develop practical skills. Adapt training delivery methods and content to suit different learning styles and technical proficiencies. Assessment & Evaluation: Develop and administer assessments (e.g., quizzes, practical tests) to evaluate trainee comprehension and skill acquisition. Provide constructive feedback to trainees and track their progress. Evaluate the effectiveness of training programs and materials, and recommend improvements based on feedback and performance metrics. Technical Expertise & Support: Stay up-to-date with the latest advancements in robotics technology, software, and industry trends. Act as a subject matter expert and provide technical support and guidance to students/trainees regarding robotic systems. Assist in the development of standard operating procedures (SOPs) and safety protocols related to robotics. Troubleshoot complex robotic issues and use real-world examples in training. Documentation & Reporting: Maintain accurate records of training sessions, attendance, and trainee performance. Prepare training reports and provide updates to management on training progress and effectiveness. Document new training procedures and updates to existing materials. Collaboration & Communication: Work closely with engineers, maintenance technicians, production supervisors, and equipment vendors to ensure training aligns with operational needs and equipment specifications. Communicate effectively with all levels of the organization regarding training schedules, requirements, and outcomes. Develop and present training proposals, outlining scope, objectives, methodology, timelines, and resource requirements. Qualifications: Education: Bachelor's degree in Robotics, Automation, Electrical Engineering, Mechanical Engineering, Mechatronics, or a closely related technical field. Relevant certifications in specific robot brands (e.g., FANUC, KUKA, ABB, Universal Robots, Yaskawa, Kawasaki) are highly desirable. Formal training or certification in adult education or instructional design is a plus. Experience: Minimum of 2 - 5 years of hands-on experience with industrial robots (e.g., welding, assembly, material handling, pick-and-place, collaborative robots) in a manufacturing or industrial environment. Proven experience in programming, operating, maintaining, and troubleshooting robotic systems. Demonstrable experience teaching and training both students (e.g., academic, vocational, high school) and adult professionals (e.g., industry students/trainees, technicians, engineers). Significant experience in delivering industry-specific training within manufacturing, automation, or a related technical sector. Proven experience in developing and writing compelling technical proposals for training programs, projects, or grants. Experience working on international projects or with diverse global teams is highly preferred. Prior experience in a dedicated training, teaching, or instructional role is essential, preferably in a technical or industrial setting. Technical Skills: In-depth knowledge of robotic kinematics, dynamics, and control systems. Proficiency in robot programming languages (e.g., KAREL, RAPID, TP, VAL, URScript, C++, Python for robotics). Familiarity with various robot brands and their programming environments. Understanding of PLC programming and integration with robotic systems. Knowledge of robotic safety standards and risk assessment procedures. Familiarity with vision systems, grippers, and other robotic peripherals. Experience with CAD/CAM software for offline programming is a plus. Soft Skills: Exceptional presentation, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Excellent organizational and time management skills. Ability to explain complex technical concepts in a clear, concise, and understandable manner. Patience, adaptability, and a genuine passion for teaching. Self-motivated and able to work independently as well as part of a team. Cultural sensitivity and the ability to work effectively with individuals from diverse backgrounds. Working Conditions: May involve working in a manufacturing or industrial environment, which may include exposure to noise, machinery, and varying temperatures. Some travel may be required to other company locations or client sites for training delivery, including potential international travel. Ability to stand for extended periods, lift moderate weight, and perform hands-on demonstrations. Job Type: Permanent Work Location: In person
Job Summary: We are looking for a skilled Machine Learning Engineer to design, develop, and deploy cutting-edge AI agents and enhance our suite of office productivity applications with intelligent features. The ideal candidate will have a strong background in machine learning principles, hands-on experience with various ML frameworks, and a passion for creating practical, user-centric AI solutions. Responsibilities: Design, develop, and deploy machine learning models for AI agents to automate tasks, provide intelligent assistance, and improve user workflows. Integrate AI capabilities into existing and new office applications (e.g., natural language processing for document analysis, intelligent scheduling, data insights). Research and implement state-of-the-art machine learning algorithms and techniques. Collect, preprocess, and analyze large datasets to train and evaluate ML models. Collaborate with product managers, software engineers, and UX/UI designers to define requirements and deliver high-quality AI-powered features. Optimize ML models for performance, scalability, and efficiency. Monitor and maintain deployed models, ensuring their accuracy and reliability. Stay up-to-date with the latest advancements in AI, machine learning, and office productivity technologies. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. Proven experience (3 years) as a Machine Learning Engineer or similar role. Strong programming skills in Python. Proficiency with popular machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with natural language processing (NLP) techniques, including text classification, named entity recognition, sentiment analysis, and language generation. Demonstrated understanding and practical experience with cloud cost optimization techniques for ML workloads (e.g., resource rightsizing, auto-scaling, serverless functions, leveraging free tiers). Familiarity with developing conversational AI or chatbot systems. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying ML models is a plus. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Bonus Points (Optional): Experience with front-end development frameworks (e.g., React, Angular) for integrating AI features into user interfaces. Knowledge of MLOps practices for model deployment, monitoring, and versioning. Familiarity with agile development methodologies. Contributions to open-source projects. Job Types: Full-time, Permanent Work Location: In person