- Design, deliver, and optimize high-performance, large-scale applications, data pipelines, and ML service infrastructure with exceptional speed and reliability.

- Enhance core products by skillfully integrating, fine-tuning, and deploying advanced machine learning models for optimal performance and impact.

- Command the full software development lifecycle-from initial design and architecture to coding, testing, deployment, and maintenance-while producing clean, efficient, and documented code.

- Develop and execute sound technical strategies for complex projects, taking into account business goals, timelines, and long-term impact.

- Work closely with product managers and partners to translate business requirements into robust technical solutions, ensuring alignment across teams.

- Take ownership of cross-team engineering efforts and guide junior team members, setting a high standard for technical excellence and professional growth.

- Drive innovation by developing novel solutions to challenging problems and actively contribute to a culture of knowledge sharing by both teaching and learning from others.

What you will bring :

- Masters or Bachelors degree in Computer Science or a related field with 10+ years of experience in building large-scale distributed applications and backend services.

- Expert with Java, Kotlin to build server side technologies is required.

- A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge

- Experience in the close examination of data, computation of statistics, and deriving of data insights

- Proven experience designing and operating Big Data processing pipelines (Hadoop, Spark) and working with NoSQL databases or key-value stores (e.g., MongoDB, Redis).

- Hands-on experience with the end-to-end lifecycle of machine learning, including model deployment and application at scale. Experience in AI research or industrial recommendation systems is a significant plus.

- Experience with cloud services and familiarity with Large Language Models (LLMs) or prompt engineering is highly desirable.

- A passion for technical excellence, excellent communication skills, and a "can-do" attitude with a willingness to learn and master new technologies.

- Proven expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras.