Analytics Lead managing analytical strategy and translating data into insights at privacy startup. Collaborating across teams to influence company - level decisions rooted in data.
About the role
- Associate Data Scientist leading development and implementation of advanced data engineering solutions for Generative AI at Capgemini. Collaborating on data architectures and driving innovation in machine learning capabilities.
Responsibilities
- Lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of Generative AI models
- Design robust, scalable, and innovative data architectures that align with the unique requirements of General Artificial Intelligence (GenAI) applications
- Responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems
- Build and maintain data engineering solutions on cloud platforms using hyperscaler services
- Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
- Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes)
Requirements
- Bachelor's degree in computer science, data engineering, or a related field with 5+ years experience (Master's preferred)
- Proven experience in data engineering, MLOps, ETL, and database management
- Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models
- Experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in Azure, Python, Java, or Scala
- Experience with data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark)
- Experience with highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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