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84770f_b27e979cf69e41f9964bd0ee2f69e240~mv2.avif

Our Strength Lies
in Our People

  • About the Role:
    As a Senior Sales Engineer at Evlos, you will play a pivotal role in bridging the gap between our advanced AI technologies and client needs. You will lead the technical sales process from initial engagement through post-sale support, ensuring our customers achieve maximum value from Evlos’ AI-driven quality inspection systems.


    This role blends technical acumen with strategic sales skills. You’ll work closely with clients, understand their manufacturing challenges, design tailored AI solutions, and collaborate with product and engineering teams to deliver impactful outcomes.

    You’ll also be a key contributor to business development, client relationships, and solution demonstrations, driving revenue growth and helping position Evlos as a leader in computer vision-based manufacturing automation. 

    Employment Type:
    Contract – Full Time + EPF, SOCSO & EIS + Performance-Based Annual Bonus 

    Key Responsibilities:

    • Lead the technical sales process, from prospecting and qualification to proposal development and deal closure.

    • Collaborate with clients to understand their manufacturing processes, inspection requirements, and operational challenges.

    • Design and present custom AI/computer vision solutions, demonstrating how Evlos’ technology addresses client needs.

    • Conduct product demos, proof-of-concept (POC) trials, and site visits to showcase solution capabilities.

    • Prepare technical and commercial proposals, including cost-benefit analyses and ROI justification.

    • Partner with the engineering and R&D teams to align solutions with product capabilities and customer feedback.

    • Support post-sales implementation by ensuring successful deployment, configuration, and integration of solutions.

    • Maintain a strong sales pipeline, accurately forecasting opportunities and reporting progress to management.

    • Stay updated with industry trends, competitors, and emerging AI/computer vision technologies.

    • Represent Evlos at industry events, conferences, and client presentations. 

    Skills & Experience:

    • Bachelor’s degree in Engineering, Computer Science, Mechatronics, or related field.

    • 5–10 years of technical sales or pre-sales engineering experience, preferably in automation, vision systems, or AI solutions.

    • Proven track record in B2B solution selling within manufacturing or industrial technology sectors.

    • Strong understanding of machine vision systems, sensors, cameras, robotics, or manufacturing automation.

    • Excellent presentation and communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders.

    • Experience preparing and delivering technical proposals and ROI-based sales pitches.

    • Proficiency with tools such as CRM systems (e.g., HubSpot, Salesforce) and MS Office Suite.

    • Strong analytical, negotiation, and relationship management skills.

    • Self-driven and capable of managing multiple projects in a fast-paced environment. 

    Preferred Skills:

    • Background in AI, computer vision, or industrial automation systems.

    • Familiarity with manufacturing quality control or inspection processes.

    • Experience working in a startup or high-growth technology company.

    • Technical knowledge of camera systems, image processing, or machine learning applications.

    • Ability to collaborate effectively with cross-functional teams (engineering, product, and marketing). 

    Benefits:

    • Competitive salary with annual performance-based bonus

    • EPF, SOCSO & EIS contributions

    • Hybrid work flexibility

    • Free Parking

    • Company leisure activities

    • Pantry & refreshments

    • Exposure to AI-driven technologies and cross-functional projects

    • Dynamic, collaborative startup environment with growth potential 

    Apply

  • About the Role:

    As a Backend Software Engineer at Evlos, you will be responsible for designing and building the core backend infrastructure that powers our machine vision systems.

    ​

    You will work on mission-critical components such as recipe and parameter management, security and IAM (Identity & Access Management), audit logging, database architecture, and system reliability.

     

    This role focuses primarily on backend engineering, database design, API development, and system integrity. You will collaborate closely with AI engineers, system integrators, and frontend developers to ensure our inspection systems are secure, reliable, and scalable in real-world industrial environments.

     

    You will play a key role in shaping the architectural foundations of our platform.

    Employment Type:
    Contract – Full Time

    Includes EPF, SOCSO & EIS + performance-based annual bonus

    Responsibilities:

    1) Backend Architecture & System Design

    • Design and implement scalable backend services for machine vision systems.

    • Architect and maintain robust database schemas with strong data integrity guarantees.

    • Build version-controlled recipe and parameter management systems.

    • Design and implement secure Identity & Access Management (IAM) systems.

    • Develop structured audit logging and traceability mechanisms.

    • Ensure transactional safety and consistency in offline-capable industrial environment.

     

    2) Database Engineering & Performance

    • Design relational database schemas with proper constraints, indexing, and normalization.

    • Implement safe schema migrations and backward-compatible updates.

    • Optimize query performance for read-heavy production systems.

    • Ensure data consistency under failure scenarios (power loss, retries, partial writes).

    • Diagnose and resolve database performance issues and connection leaks.

    ​

    3) API Development & Integration

    • Develop secure and well-documented RESTful APIs.

    • Implement idempotent and fault-tolerant API endpoints.

    • Define clean contracts between backend services and frontend/vision components.

    • Ensure safe concurrency handling and version control mechanisms.

     

    4) Security, Audit & Compliance

    • Implement role-based access control (RBAC) systems.

    • Design immutable audit logging with traceable correlation across system actions.

    • Enforce principle-of-least-privilege in application design.

    • Ensure data traceability suitable for industrial and compliance environments.

     

    5) Deployment & Reliability

    • Support deployment across on-premise and hybrid environments.

    • Ensure safe upgrade paths for systems deployed in factories.

    • Implement logging, monitoring, and diagnostic mechanisms.

    • Design for resilience and recovery in offline-first systems.

     

    6) Cross-Functional Collaboration

    • Work closely with AI engineers to define safe parameter interfaces.

    • Collaborate with frontend developers on secure API integration.

    • Support system integrators during deployment and troubleshooting.

    • Participate in architectural discussions and technical decision-making.

     

    7) Quality & Best Practices

    • Write clean, maintainable, and well-tested backend code.

    • Follow version control and CI/CD best practices.

    • Maintain clear technical documentation.

    • Conduct code reviews and uphold engineering standards.

    Required Qualifications:

    • Bachelor’s degree in Computer Science, Software Engineering, or related field

    • Strong experience in backend development (Python preferred)

    • Solid understanding of relational database systems (PostgreSQL, MariaDB, etc.)

    • Experience designing scalable APIs and backend architectures

    • Strong knowledge of transactions, concurrency control, and data integrity principles

    • Experience implementing RBAC and authentication systems

    • Ability to reason about system failures and edge cases

    • Strong analytical and problem-solving skills

    • Comfortable working in a fast-paced startup environment

    Preferred Qualifications:

    • Experience building systems in regulated environments (e.g., fintech, banking, enterprise).

    • Experience with FastAPI, Flask, or similar Python frameworks.

    • Familiarity with Docker and containerized deployments.

    • Experience designing offline-capable systems.

    • Understanding of audit logging and compliance best practices.

    • Exposure to industrial systems, manufacturing, or automation environments.

    • Familiarity with AI model integration pipelines.

    Benefits:

    • Competitive salary with annual performance-based bonus

    • EPF, SOCSO & EIS contributions

    • Continuous learning and professional development support

    • Hybrid work flexibility

    • Free parking

    • Team & company engagement activities

    • Office pantry & refreshments

    • Exposure to cross-functional projects and AI-driven technologies

    • Dynamic, collaborative startup environment with growth opportunities

    Apply

  • About the Role:

    We’re looking for a motivated intern to join our Vision AI team in building cutting-edge foundation models tailored to real-world industrial use cases. You will work alongside experienced engineers and researchers on projects involving data collection, model experimentation, and knowledge exploration—bringing in your fresh perspective and curiosity. 

    Internship Allowance:

    • Provided 

    Key Responsibilities:

    • Curate and manage large-scale image datasets from various sources, ensuring accuracy and relevance. 

    • Conduct literature reviews and competitive landscape analysis on foundation models, dataset scaling, and self-supervised learning techniques. 

    • Support model pretraining experiments and benchmarking pipelines. 

    • Collaborate with the engineering team to maintain dataset infrastructure and optimize storage (e.g., NAS, cloud). 

    • Assist in documentation and internal knowledge-sharing sessions. 

    Preferred Qualifications:

    • Currently pursuing a Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. 

    • Hands-on experience or familiarity with Python and libraries such as PyTorch, OpenCV, or scikit-image. 

    • Basic understanding of computer vision (e.g., CNNs, feature extraction, segmentation). 

    • Bonus: Experience working with datasets like ImageNet, COCO, or custom pipelines.

    What You'll Gain:
    Real-world exposure to vision foundation models and experimental research workflows. 

    • Practical experience with data pipelines and ML model training processes. 

    • Mentorship and hands-on guidance from seasoned engineers. 

    • Opportunity to contribute meaningfully to high-impact AI projects. 

    • Internship allowance will be provided 

    Apply

  • About the Role:

    You will support the assembly, installation, and testing of custom machines and vision systems by working closely with engineers and technicians. This role provides hands-on exposure to mechanical and electrical integration, machine building, and troubleshooting, making it an ideal opportunity to learn and contribute within a fast-paced engineering environment. 

    Internship Allowance:

    • Provided 

    Key Responsibilities:

    •  Assist in assembling and installing components for automation infrastructure supporting vision inspection systems. 

    • Support troubleshooting of basic mechanical and electrical issues during assembly and installation under supervision. 

    • Help perform technical checks and quality inspections to ensure systems meet required specifications. 

    • Assist in preparing design layouts, documentation, and updating schematics/blueprints for assembly processes. 

    • Work with engineers during product demonstrations, design reviews, and on-site installations.

    •  Learn and support tasks involving machine wiring, pneumatic routing, and cable trunking organization. 

    • Participate in basic machine testing to verify proper functionality. 

    • Help collect and document machine data needed for internal verification or customer buy-off. 

    • Support the project team during customer buy-off sessions and on-site installations as required. 

    Preferred Qualifications:

    • Currently pursuing or recently completed a diploma/degree in Mechanical, Electrical, or Mechatronics Engineering (or related field). 

    • Basic understanding of mechanical tools, electrical wiring, or assembly processes. 

    • Strong interest in automation, robotics, or vision system integration. 

    • Willingness to learn, adapt quickly, and follow technical instructions. 

    • Team player with attention to detail and safety practices. 

    What You'll Gain:

    • Practical experience in assembling and testing advanced machine vision systems. 

    • Exposure to both mechanical and electrical integration tasks in real-world engineering projects. 

    • Mentorship from experienced engineers and technicians. 

    • Opportunities to participate in site installations and customer buy-off sessions. 

    • A foundation for pursuing a career in automation, robotics, or engineering design. 

    Apply

  • About the Role:

    You will support the assembly, installation, and testing of custom machines and vision systems by working closely with engineers and technicians. This role provides hands-on exposure to mechanical and electrical integration, machine building, and troubleshooting, making it an ideal opportunity to learn and contribute within a fast-paced engineering environment. 

    Internship Allowance:

    • Provided 

    Key Responsibilities:

    • Assist in assembling custom machines and vision systems based on engineering drawings and BOMs (Bill of Materials). 

    • Help install and align mechanical components such as actuators, cylinders, gears, and linear rails. 

    • Work alongside engineers and technicians to ensure correct fit and functionality of mechanical parts. 

    • Support basic mechanical tasks such as fitting, tapping, drilling, and light machining under supervision. 

    • Participate in building sub-assemblies and full systems with attention to precision and detail. 

    • Help identify and troubleshoot mechanical issues during the build process. 

    • Assist the electrical and controls teams with mechanical integration and component mounting. 

    • Maintain cleanliness and organization of tools, parts, and workstations. 

    • Follow all safety procedures, SOPs (Standard Operating Procedures), and quality guidelines. 

    • Join site installations when required and assist with on-site mechanical adjustments. 

    Preferred Qualifications:

    • Currently pursuing or recently completed a diploma/degree in Mechanical, Electrical, or Mechatronics Engineering (or related field). 

    • Basic understanding of mechanical tools, electrical wiring, or assembly processes. 

    • Strong interest in automation, robotics, or vision system integration. 

    • Willingness to learn, adapt quickly, and follow technical instructions. 

    • Team player with attention to detail and safety practices. 

    What You'll Gain:

    • Practical experience in assembling and testing advanced machine vision systems. 

    • Exposure to both mechanical and electrical integration tasks in real-world engineering projects. 

    • Mentorship from experienced engineers and technicians. 

    • Opportunities to participate in site installations and customer buy-off sessions. 

    • A foundation for pursuing a career in automation, robotics, or engineering design. 

    Apply
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