Veear
ML Engineer
Veear - Seattle, Washington, us, 98127
Work at Veear
Overview
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Overview
Required Skills:
Proficiency in JAX for numerical computing and machine learning. Hands-on experience with Apache Iceberg for data lake management. Advanced knowledge of Apache Spark for big data processing. Proficiency in Python and SQL. Experience with ML frameworks (e.g., TensorFlow, PyTorch). Strong understanding of data pipelines, ETL processes, and distributed computing. Experience with cloud platforms (e.g., AWS, GCP, Azure). Preferred Skills:
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with containerization and orchestration (e.g., Docker, Kubernetes). Knowledge of data versioning and governance using Iceberg. Strong problem-solving skills and the ability to troubleshoot performance issues. Education and Experience:
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience as a Machine Learning Engineer or in a similar role. Proven track record of deploying scalable ML solutions in production environments.
Proficiency in JAX for numerical computing and machine learning. Hands-on experience with Apache Iceberg for data lake management. Advanced knowledge of Apache Spark for big data processing. Proficiency in Python and SQL. Experience with ML frameworks (e.g., TensorFlow, PyTorch). Strong understanding of data pipelines, ETL processes, and distributed computing. Experience with cloud platforms (e.g., AWS, GCP, Azure). Preferred Skills:
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with containerization and orchestration (e.g., Docker, Kubernetes). Knowledge of data versioning and governance using Iceberg. Strong problem-solving skills and the ability to troubleshoot performance issues. Education and Experience:
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience as a Machine Learning Engineer or in a similar role. Proven track record of deploying scalable ML solutions in production environments.