Aura from Unity, a cutting-edge large-scale mobile platform, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic AI team. The ideal candidate will have a strong background in machine learning, data engineering, and software engineering, and will be responsible for leading the design, development, and deployment of cutting-edge machine learning pipelines and systems.
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.
Requirements: 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.
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