What you'll be doing - System Design and Architecture: Develop and maintain robust, scalable, and efficient ML pipelines including data collection, preprocess, and analyze large datasets to facilitate model training, evaluation and monitoring.
- Research and Innovation: Stay current with the latest advancements in machine learning and AI, and apply innovative techniques to improve model performance and application.
- Mentorship and Leadership: Provide technical guidance and mentorship to junior engineers and data scientists, and lead project teams to successful completion.
- Cross-Functional Collaboration: Work closely with data scientists, software engineers, architects and product managers to integrate machine learning solutions into production systems.
What we're looking for - Proficiency in programming languages such as Python or Java/Scala and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
- Hands on experience in streaming technologies (Kafka, Kinesis, SQS)
- Expert in big data processing frameworks such as Apache Spark, Trino, Ray, Dask.
- Data Lake management knowledge: table formats (Iceberg, Delta). Data-warehouses (Redshift, Big Query, Snowflake)
- MLOps systems - Model registry, Experiment Tracking (MLFlow, W&B), Feature Store management (Feast, Tecton), Workflow management (Kubeflow, Airflow), Serving platform (Seldon Core, KServe, Ray Serve, Sagemaker).
- Knowledge of microservices architecture and event-driven design.
You might also have - Proficiency with cloud platforms such as AWS, Google Cloud Platform, or Azure, and experience with containerization technologies like Docker and Kubernetes.
- Understanding of statistical modeling, machine learning algorithms, data structures, and data analysis techniques.
Additional information - Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.