Lead the conception and execution of intricate, resilient, scalable, and high-performing data-centric systems, integrating machine learning algorithms to enhance content delivery, customization, and connectivity services.
Develop and implement machine learning models, prognostic analytics, and data-driven approaches to optimize user interactions and enrich IFEC (In-Flight Entertainment and Connectivity) functionalities.
Create machine learning frameworks, tools, and technologies.
Play a pivotal role in determining architectural aspects concerning machine learning infrastructure and deployment workflows.
Serve as the team's representative in discussions with stakeholders, elucidating technical concepts and proposing strategic technical directions.
Architect scalable and streamlined machine learning pipelines, utilizing cloud-based platforms and distributed computing frameworks.
Desired Profile:
Skilled in programming languages such as Python or java or Pyspark.
Comprehensive knowledge of DevOps principles and machine learning algorithms.
Create and implement machine learning models, predictive analytics, and data-driven strategies to enhance user experiences through optimization.
Expertise in Machine learning frameworks and data processing technologies.
Practical experience in Data Science and proficiency with databases, particularly in SQL.
Experience in one of the ML as a service platform, such as Azure ML, Sagemaker, Vertex AI.
Utilized open-source tools like Mlflow, Kubeflow, evidently.ai, alibi, and sheldon.core or any open-source tools.
Hands-on expertise in cloud computing, with a preference for AWS.
Excellent communication.
Immediate joiner.
Interested candidates share your updated CV with me [email protected]
