Jobs at Yassir – Apply Now

About the role

• Yassir is seeking a highly skilled and motivated MLOps Engineer (of any senior level) to join our Artificial Intelligence (AI) team and drive our ML Operations in application deployment and infrastructure development enabling the training, deployment, experimentation, monitoring and altogether management of our ML applications and their artefacts, at scale and at speed.
• As an MLOps Engineer, you will play a crucial role in making Yassir’s products and operations more AI driven, through the use of modern technologies.
• This is a very exciting opportunity, tackling some of Yassir’s most critical problems.

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Responsibilities

• Build a centralized data lake on GCP Data services by integrating diverse data sources throughout the enterprise.
• Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components
• Design and implement data validation and quality checks to ensure data’s accuracy, completeness, and consistency as it flows through the pipelines.
• Work with the Data Science and Machine Learning teams to engage in advanced analytics.
• Collaborate with cross-functional teams, including data analysts, business users, operational and marketing teams, to extract insights and value from data.
• Collaborate with the product team to design, implement, and maintain the data models for analytical use cases.
• Design, develop, and upkeep data dashboards for various teams using Looker Studio.
• Engage in technology explorations, research and development, POC’s and conduct deep investigations and troubleshooting.
• Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.
• Troubleshoot data issues and conduct root cause analysis when reporting data is in question.

Required Technical Skills

• PySpark  Batch and Streaming
• GCP  Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and
• Cloud Storage
• NoSQL (preferably MongoDB
• Programming languages: Scala/Python
• Great Expectation, or similar DQ framework
• Familiarity with workflow management tools like: Airflow, Prefect or Luigi
• Understanding of Data Governance, Data Warehousing and Data Modelling
• Good SQL knowledge

Business

• Able to communicate effectively, distill technical knowledge into digestible
• messages in a succinct / visual way
• Proactively identify and contribute with team development initiatives, and
• supporting junior members.

Good to have skills

• Infrastructure-as-Code, preferably Terraform
• Docker and Kubernetes
• Looker
• AI / ML engineering knowledge
• Lineage, or relevant tools e.g. Atlan
• DBT