- Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-driven solutions.

- Drive the architecture of machine learning pipelines from data collection and preprocessing to model training, evaluation, and deployment.

- Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).

- Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.

- Stay up to date with the latest trends in AI and machine learning, identifying opportunities for innovation and improvement.

- Work on improving model interpretability, fairness, and bias mitigation in

alignment with ethical AI practices.

- Collaborate on the development of internal tools and libraries that facilitate the use of machine learning models across the organization.

- Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning systems.

Preferred Skills :

- Experience in LLM technologies, computer vision and ML algorithms.

- Knowledge of data governance and ethical AI principles.

- Familiarity with real-time data streaming technologies (Kafka, Flink, etc.).