AI/ML Engineer (0-1 years)

Candidates typically undergo three rounds: a technical coding round focusing on Python and data structures, a system design/AI concepts round to assess problem‑solving and domain knowledge, and an HR round to evaluate cultural fit. The difficulty is moderate, with emphasis on practical AI/ML scenarios and clear communication of ideas.

Round 1: Technical coding and AI/ML concepts → Round 2: System design and project discussion → Round 3: HR interview

Cyncly promotes a collaborative, inclusive work culture with a focus on continuous learning and innovation. Employees benefit from flexible hybrid work arrangements, opportunities for skill development, and a healthy work‑life balance supported by a supportive leadership team.

Bachelor’s or Master’s degree in Computer Science, MCA, AI, or related fields. 0‑1 year of experience in AI/ML. Strong academic record (minimum 60% or equivalent). No backlog policy. Excellent analytical, problem‑solving, and communication skills required.

Cyncly is a global technology powerhouse with over 2,800 employees and 70,000 customers spanning more than 100 countries. The company specializes in end‑to‑end software solutions that connect designers, retailers, and manufacturers to the world’s largest repository of product content. With a presence in North & South America, Europe, Asia Pacific, and Africa, Cyncly serves industries such as Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring. The firm has a rich history of 30+ years and is backed by leading growth private equity firms, positioning it for continued organic expansion and strategic acquisitions. The AI/ML Engineer role is situated within Cyncly’s AI Center of Innovation. Freshers with 0‑1 year of experience will be tasked with designing, implementing, and deploying state‑of‑the‑art AI and computer vision solutions that power the company’s product suite. The engineer will build RESTful APIs to expose AI models, design vector database schemas, and collaborate closely with data scientists, data engineers, and DevOps teams to ensure scalable, secure, and high‑performance deployments. Key Responsibilities (8‑10 points): 1. Design and develop AI/ML models using TensorFlow, PyTorch, and OpenCV for computer vision tasks. 2. Build and expose REST APIs that integrate AI model outputs into client applications. 3. Design vector database schemas and write efficient, scalable queries for similarity search. 4. Create rapid proof‑of‑concepts to showcase technology capabilities to stakeholders. 5. Build and maintain CI/CD pipelines using Azure DevOps, ensuring continuous integration and deployment. 6. Collaborate with DevOps engineers to configure secure, highly scalable cloud environments. 7. Conduct code reviews, enforce coding standards, and mentor interns/freshers. 8. Troubleshoot and debug production issues, providing both tactical and permanent solutions. 9. Stay updated on emerging AI/ML research, especially in generative AI and computer vision. 10. Document technical designs and maintain up‑to‑date system documentation. Tech Stack: Python, TensorFlow, PyTorch, OpenCV, Pillow, scikit‑image, SQL, REST API design, Azure DevOps, vector databases (e.g., Pinecone, Milvus), cloud platforms. Growth Path: Freshers start by contributing to small modules and POCs, then progress to full‑stack AI solution development, and eventually lead AI initiatives, mentor juniors, and shape product strategy. The company’s culture of continuous learning and cross‑functional collaboration accelerates career growth. Why Join Cyncly? The firm’s global footprint, commitment to AI innovation, and inclusive “OneCyncly” culture provide a stimulating environment for early‑career engineers. Employees enjoy flexible work arrangements, exposure to cutting‑edge technology, and the chance to impact millions of customers worldwide.