Responsibilities
- Collaborate cross-functionally with engineers, researchers, and product teams to design evaluation and sampling methodologies and iterate on service features.
- Write clear and comprehensive technical documentation on methodologies, evaluation frameworks, and findings.
- Develop a robust and innovative data integration and processing system that will handle complex data flows, transformations, and integrations, ensuring accurate and efficient data processing
- Working with cutting edge technologies
Basic qualifications
- Google Cloud Platform experience across BigQuery
- Hands on experience building pipelines with VertexAI
- Experience working on Classical ML
- Prior ML code production deployment experience using Tensorflow
- Strong proficiency in Python / C++
- Experience working with GitHub / GitHub actions
- Strong communication skills, ability to translate between technical and business stakeholders, write clear documentation, present results.
- Bachelor’s/Master’s degree in Computer Science/ Engineering or a related field.
Preferred qualifications
- Experience with distributed computing frameworks (Spark, Hadoop)
- Knowledge of model deployment and serving frameworks (TensorFlow Serving, KFServing)
- Experience with ML monitoring and observability tools
- Familiarity with ML experiment tracking platforms (MLflow, Weights & Biases)
- Knowledge of data versioning and ML model versioning
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
Tags & focus areas
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