Sr AI/ML Engineer

Cyncly’s end-to-end software solutions connect designers, retailers, manufacturers, contractors and consumers to make spaces amazing. With the world’s largest repository of product content, we equip customers with the tools to transform vision into reality. From inspiration to installation, Cyncly transforms how spaces are imagined, designed, sold, managed and made.

Cyncly’s brands are Compusoft, 2020, 3CAD, Access IT (contract ERP), FeneTech, First Degree Systems, Focco, GO-2B, M3B, Promob, Soft Tech, RFMS and Virtual Worlds.

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.

About the Role:

As a Sr AI/ML Engineer you will be an essential part of the modeling 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 modeling techniques for optimal efficacy.

This is an exciting role that offers tremendous learning and growth opportunities in a dynamic data-driven environment. Apply now to be part of Cyncly AI Innovation Center team!

Key Position Responsibilities Include:

  • Interpret data, analyse 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, analyse, 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 prioritize 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:

  • Master’s/B.Tech degree with a major in quantitative field (Statistics, Predictive Analytics, Economics, Mathematics etc.)
  • 4+ years of experience in implementing AI/ML solutions.
  • Good understanding of AI/ML modeling techniques and implementation experience.
  • Experience with ML, deep learning, TensorFlow, Python, NLP.
  • Exposure to Image classification models, Diffusion models, voice assistants and chatbots 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’re a global family that collaborates with humility and respect for one another. With more than 2,300 employees around the world, we not only recognize our diverse perspectives, we champion our different outlooks and firmly believe it to be what makes us better together.

You can expect to work in a supportive and nurturing environment, with experts in their fields who strive for quality and excellence without compromising others. We also believe in a flexible and autonomous working environment, focused on the continual growth of our employees.

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