DescriptionData Platform Engineering Team is responsible for sourcing transforming and curating data from structured and unstructured data sources. We are currently on an exciting journey to build unstructured data curation and transformation solution to enrich the consumption of unstructured data for business needs. The Enterprise data platform team has a combination of data scientists machine learning engineers (MLEs) and data engineers. MLEs would be supposed to implement sophisticated machine learning models that can transform unstructured data into a consumable form for business users.
Responsibilities- Design and Build Deep learning models to understand and derive insights from unstructured data (Multimodal text image audio etc.
- Develop custom transformer architectures to solve business problems.
- Understand business needs and come up with an appropriate solution architecture for the usecase
- Ensure deployment of ML models into production by working closely with data engineers / MLOps engineers.
- Use of testdriven Development and code pairing practices (version control).
- Collaborate with other product teams on integrations testing and deployments.
Qualifications- 5 9 years of overall experience in machine learning with proven experience in deep learning model training and deployment
- 4 Years of strong handson experience in PyTorch Hugging face and good understanding of optimizers learning rate schedulers etc. Experience in distributed GPU compute is preferable.
- 4 years of handson experience with Python programming language.
- Ability to work well in a collaborative agile development team with business and development partners.
- Strong team player who is willing to learn share teach and lead depending on the situation.
- Excellent problemsolving and communication skills
- Continuously integrate and deploy developed software; modify CI/CD pipeline and scripts as necessary to improve continuous integration practices (Terraform).
- Experience in Google Cloud Platform (GCS Big Query Cloud Run Cloud Build Pub/Sub)
Required Experience:
Manager