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We are a leading fintech company providing cutting-edge technological solutions to the online trading industry, is seeking an experienced and talented team leader to join our R&D department. About the Role As a Core team leader, you will lead a team of skilled.NET developers responsible for developing and maintaining Leverates core systems and CRM platform (Microsoft Dynamics). This is a hands-on leadership position that combines deep technical expertise, system architecture design, and strategic oversight of critical business systems. You will ensure seamless integration between the companys core infrastructure and its CRM ecosystem, delivering stable, high-performing, and scalable solutions Responsibilities
* Lead, mentor, and guide a team of.NET developers working on both Core and CRM systems.
* Design, develop, and maintain backend services and components in.NET Framework /.NET Core
* Oversee development and customization of Microsoft Dynamics CRM, including integrations with internal systems.
* Collaborate with Product, DevOps, and QA teams to ensure seamless delivery of end-to-end solutions.
* Manage deployments, CI/CD pipelines, and performance optimization within on-premise environments.
* Define and enforce development best practices, architecture standards, and clean code principles.
* Identify and resolve system bottlenecks and drive ongoing technical improvements.
Position Type:
Replacement

we are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Senior data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities:

* Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
* Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
* Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
* Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.
Advantages:

* Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
* Worked on deep learning graph model solutions with 10s of TB of data.
* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and Machine Learning.
* Strong passion for Machine Learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
* Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.