Cyncly Off Campus Drive 2025: Hiring AI/ML Engineer in Bangalore

Great news for early-career developers and recent graduates! Cyncly, a leading global technology company, is hiring an AI/ML Engineer for its AI Center of Innovation based in Bangalore. If you have 0 to 1 year of experience in artificial intelligence, machine learning, and software development, this opportunity offers a fantastic platform to build cutting-edge solutions at scale. Below is everything you need to know about this exciting role, including eligibility requirements, technical expectations, and instructions on how to submit your application.

About Cyncly

Cyncly is an established global software powerhouse that provides end-to-end software solutions for spaces for living. The company powers over 70,000 customers across 100+ countries, backed by a strong global team of more than 2,800 employees. Cyncly specializes in creating digital environments, product content, and design automation tools across industries such as Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring.

Through an expanded ecosystem of software products, Cyncly connects manufacturers, retail store owners, and professional designers to streamline operations from creative visualization all the way to manufacturing. The engineering and innovation team is actively integrating Artificial Intelligence and Computer Vision capabilities across all core product suites to give customers personalized and intelligent design experiences.

Role Summary and Work Responsibilities

As an AI/ML Engineer inside Cyncly's AI Center of Innovation, you will work on practical AI projects that solve real customer problems. The team acts as the central research and development hub for the entire global business, meaning you will collaborate on high-impact projects using Generative AI, Computer Vision, and modern software architectures.

Here is a detailed breakdown of what your day-to-day work will involve:

• Model Integration & Deployment: Design, build, and integrate custom AI and Computer Vision models into production systems using clean REST APIs.
• Database Architecture: Work with Vector Databases, designing efficient schemas and writing high-performance queries for scalable AI/ML applications.
• Proof of Concept (POC) Creation: Quickly prototype and demonstrate technology capabilities to validate business solutions before full rollout.
• DevOps & CI/CD Pipelines: Collaborate with cloud and DevOps specialists using Azure DevOps tools to maintain secure, automated build and deployment pipelines.
• High Quality Standards: Write clean, well-tested Python code adhering to strict coding standards, unit testing frameworks, and automated test environments.
• Security & Scalability: Identify potential cyber security vulnerabilities in machine learning workflows and write scalable microservices that handle growing traffic.
• Cross-functional Collaboration: Partner with data scientists, data engineers, and product leadership to shape the technical architecture of enterprise solutions.

Eligibility Criteria and Qualifications

To qualify for this position, applicants must meet the following criteria:

• Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, MCA, or related technical disciplines.
• Years of Experience: 0 to 1 year of practical exposure or projects in the AI/ML space. Freshers with strong academic credentials and internship experience are strongly encouraged to apply.
• Academic Performance: Strong academic history throughout school and graduation.
• Communication Skills: Excellent verbal and written English communication skills to interact effectively across global engineering teams.

Technical Skills Required

• Python Proficiency: Solid knowledge of core Python syntax, object-oriented concepts, and standard data structures.
• ML/DL Libraries: Hands-on familiarity with libraries such as TensorFlow, PyTorch, OpenCV, Pillow, or scikit-image.
• Core Domain Knowledge: Solid understanding of foundational concepts in Deep Learning, Generative AI (GenAI), and Computer Vision.
• Database Management: Good grasp of SQL and experience with relational or vector database systems.
• Analytical Aptitude: Strong problem-solving, debugging, and critical thinking capabilities to resolve complex technical blockers.

Selection Process

The hiring workflow at Cyncly generally consists of the following rounds:

1. Resume Shortlisting: Applications are screened based on relevant education, projects, skills, and past internships.
2. Online Technical Assessment: Candidates are evaluated on Python programming, algorithms, data structures, and basic machine learning concepts.
3. Technical Interview Rounds: Deep dive into your projects, machine learning framework experience, SQL, problem-solving, and API design.
4. HR & Cultural Fit Interview: Discussion regarding your career ambitions, communication, willingness to work in a hybrid setup, and team culture alignment.

How to Apply

Interested candidates can apply directly on the official Cyncly careers portal by following these simple steps:

1. Click on the official application link provided below.
2. Review the official job post and click on the 'Apply Now' button on their portal.
3. Create an account or sign in using your existing credentials.
4. Fill in your contact details, academic background, and relevant experience.
5. Upload an updated resume highlighting your AI/ML projects and Python skills.
6. Submit your application and keep a copy for your records.