DCKAP is on a mission to create better opportunities and empower the growth of people across the globe and be a front runner of Technological Innovation while at it. We are the people behind DCKAP Integrator, QA Touch, and Klizer and are looking for Innovative, Inspired People to join our team and fuel our Vision.

We are seeking talented and experienced AI Developers to join our growing team and play a pivotal role in developing and implementing AI functionalities within our integration product. As a Senior AI Developer, you will leverage your expertise in machine learning and AI to design, build, and integrate intelligent features that streamline data exchange and enhance the overall user experience.

Roles

• Collaborate with product managers, engineers, and data scientists to understand integration product functionalities and identify opportunities for AI integration.
• Design and develop AI models tailored to specific integration challenges, such as data anomaly detection, data transformation, or pattern recognition.
• Utilize your knowledge of machine learning algorithms and deep learning architectures to build robust and efficient models.
• Work closely with data engineers to prepare, clean, and transform data for use in AI models.
• Train, evaluate, and optimize AI models to ensure accuracy, performance, and scalability within the integration product.
• Monitor and maintain deployed AI functionalities, troubleshoot issues, and identify areas for continuous improvement.
• Stay up-to-date on the latest advancements in AI research and development relevant to integration solutions.

You are a Good Fit For this Job, If You,

• Bachelor’s degree in Computer Science, Data Science, or a related field (e.g., Mathematics, Engineering).
• 3+ years of experience in designing and developing AI solutions.
• Proven experience in integrating AI models into software applications.
• Strong proficiency in programming languages like Python, Java.
• Deep understanding of machine learning algorithms and deep learning architectures.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models (a plus).
• Experience with APIs and integration methodologies.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and collaboratively within a team environment.