Job Title: Sr. AI/ML Engineer - Gen AI Solution

Location: Bengaluru, India (Hybrid)

Permanent - Full Time

About Us

Cyncly is a global technology powerhouse with 2,400+ employees and 70,000+ customers across 100+ countries. Cyncly transforms the way customizable products and spaces are imagined, designed, sold, managed and made. Our end-to-end software solutions connect professional designers, retailers and manufacturers to the world's largest repository of product content. Today, our business spans across the Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring industries with operations in North & South America, Europe, Asia Pacific and Africa.

Cyncly brings over 30 years of experience to deliver more value for our customers through an expanded portfolio of end-to-end solutions. Our global presence allows us to provide world-class support and sales with a local touch, providing the best possible customer experience.

Cyncly is now embarking on an exciting journey as we continue to expand through strong organic growth and complementary acquisitions, backed by leading growth private equity firms specializing in technology.

Cyncly & The Power of AI

At Cyncly, we believe in unlocking the power of AI to deliver highly personalized and extraordinary experiences for our customers and their clients. We are on a dynamic journey of seeking exceptional talent to add critical AI models and functionality to our products used by over 17,000 customers worldwide. This is opportunity to be a part of a collaborative team that fosters continuous learning and growth, where you'll work on exciting data driven projects that redefine the Spaces for Living industry. AI is reshaping private and business life at an unprecedented speed, and Cyncly is committed to leading the charge in delivering new sources of value for our customers.

Availability between 12:30 PM to 9:30 PM IST is required to support collaboration with our global teams.

About the role

As a Sr. AI/ML Engineer in AL Innovation Center Team, you'll design and deploy cutting-edge AI and computer vision models, crafting APIs that seamlessly integrate solutions into client applications. With expertise in Azure, Docker, and AKS, you'll ensure cloud deployments are efficient and scalable to meet evolving client needs. Compliance, security, and privacy are central to our solutions, and your knowledge in MongoDB and Vector DB will drive optimized, high-performance databases. With a focus on image processing, LLMs, and mentorship, this is your chance to drive innovation in the Space Designing industry.

Key Position Responsibilities Include:

Design data solutions to meet business, technical and user requirements. This includes building REST APIs that meet the functional/non-functional business requirements and meets the standards.
Designing of DB schema for Vector Database and writing efficient and scalable queries.
Meet the highest quality standards in code. And evangelise code quality among the team.
Create quick POCs to demonstrate and show case the technology capabilities in solving the business need.
Building robust build and deployment pipelines using Azure DevOPs tools. Working with DevOps engineers to make sure continuous integration and continuous deployment.
Understanding the cyber security threats and provide solutions to mitigate the security risks.
Trouble shooting and debugging skills to quickly identify the root causes and address the issues with both tactical and permanent solution.
Work with Data scientists and Data Engineers in understanding the end to end design of the enterprise systems. Contribute in technical discussion in providing best software solution.
Make the application scale to the demand. Help devops engineers in configuring and deploying in a secured and highly scalable cloud environment.
Improve the Coding standards and DevOps maturity by constantly adopting the best standards.
Maintain unit testing, integrated testing and automated test environments for quicker delivery.
Deliver on time with high quality.
Maintain technical documentation of the solution, which presents the design to various stake holders.
Provide guidance and mentoring to Interns/Freshers and other AI/ML engineers.

Required Experience and Qualifications:

Bachelor's degree in computer science or IT-related courses.
3+ years of experience in Data Area.
Experience in Python in developing APIs using FastAPI and MongoDB.
Experience in python libraries like Tensorflow, pyTorch, OpenCV, Pillow,scikit-image etc.
Experience in Machine Learning and Computer Vision.
Expertise in Docker, Kubernetes, Azure Cloud Applications and Azure Cloud.
Solid knowledge in relational and NoSQL databases (SQL Server, MongoDB).
Must have the required knowledge to understand/build complex systems for businesses.
Experience with development tools/frameworks : Fast API, Flask, Streamlit, Conda, REST API.
Knowledge of Azure cloud resources like Azure Cloud Applications, Azure Storage accounts, Azure Key Vault, Azure Front Door, Azure Container Registry, Azure Machine Learning workspace.
Experience in Azure DevOps, Building build and deployment pipelines.
Analytical, problem-solving, and decision-making skills.
Demonstrate excellent analytical, technical, interpersonal, and organizational skills and be a good team player.
Experience working in an agile environment as an important part of the team.
Excellent communication skills with sponsors, CSM teams, and clients.

Working for Us

At Cyncly, we call our team OneCyncly, a reflection of how we work together as one, united by our purpose: powering businesses that bring spaces to life. Our strength comes from our diversity of experiences, perspectives, and skills - and we thrive when we work together with openness, trust, and respect.

Here, you'll join a group of colleagues who take ownership, solve problems, and focus on making an impact. We embrace curiosity, welcome new ideas, and see mistakes as opportunities to learn. You'll have the freedom to work flexibly and autonomously, supported by teammates and leaders who are committed to your growth.

We celebrate the different ways people contribute and encourage everyone - from every background - to bring their authentic self to work. Because when we collaborate, challenge each other, and share what we know, we build something better together.

If you want to work in a place where your ideas matter, your growth is valued, and your work shapes the spaces people live, work, and play in - Come join us.