Senior AI Engineer

Job Title: Senior AI Engineer
Location: Pune India (Work from Office)
Permanent - Full time

About Us
Cyncly is a global technology powerhouse with 2400 employees and 70000 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 worlds 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.

About the Role
As an AI Engineer you will be an essential part of the modelling team developing analytics solutions to meet business and user requirements. Conduct exploratory data analysis build and integrate models into the solution pipeline. Ensure solution robustness and scalability across multiple clients while constantly exploring advanced modelling techniques for optimal efficacy. This is an exciting role that offers tremendous learning and growth opportunities in a dynamic data-driven environment.

Key Position Responsibilities include:

• Interpret data analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases data collection systems data analytics and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify analyze and interpret trends or patterns in complex data sets.
• Filter and clean data by reviewing computer reports printouts and performance indicators to locate and correct code problems.
• Work with management to priorities business and information needs.
• Work with Data Engineer to build the data science infrastructure.
• Deliver on time with high quality.
• Trouble Shooting and debugging skills for faster data defect fixing.

Required Experience and Qualifications:

• Masters/B Tech degree with a major in quantitative field (Statistics Predictive Analytics Economics Mathematics etc.)
• 4 plus years of experience in implementing AI/ML solutions.
• 2 years of experience in OpenCV Object detection image processing and classification.
• 2 years of experience with frameworks like YOLO Faster R-CNN Computer vision models etc.
• Good understanding of AI/ML modelling techniques and implementation experience.
• Experience with ML Deep Learning TensorFlow Python NLP.
• Exposure to Image classification models Diffusion models Voice assistants and chat bots is a big plus.
• Knowledge of basic algorithms object-oriented and functional design principles and best-practice patterns.
• Experience in REST API development NoSQL database design and RDBMS design and optimizations.
• Analytical problem-solving and decision-making skills.
• Demonstrate excellent interpersonal and organizational skills and be a good team player.

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 youll 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. Youll 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.