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Staff Full Stack Machine Learning Engineer
hace 1 mes
We are seeking a highly skilled Staff Full-Stack Machine Learning Engineer to join our unified Scrum team. As a key member of our team, you will be responsible for shaping the architectural design of our robust, scalable solutions and ensuring a seamless data flow for our machine learning models.
In this multifaceted role, you will serve as both a technical linchpin and a mentor, steering best practices throughout the complete machine learning lifecycle. Your extensive experience will enable you to build and maintain data pipelines, translate project management requirements into actionable ML initiatives, and lead our focused team in executing them for operational excellence.
As a Staff Full-Stack Machine Learning Engineer, you will work closely with members specializing in data science, MLOps, and ETL to ensure our models are well-crafted, scalable, and operationally sound. You will also be responsible for mentoring and leading best practices, frequently consulting with team members to help them overcome technical challenges.
Desired Skills:
- Strong proficiency in Python and/or PySpark, coupled with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
- Experience with large language models like BERT, GPT, or similar, as well as off-the-shelf ML algorithms.
- Expertise in cloud computing platforms, especially AWS services like EC2, S3, Lambda, Glue, and particularly SageMaker, for building, deploying, and scaling machine learning solutions.
- In-depth understanding of ETL processes, including data collection, cleaning, and transformation to ensure effective data pipelines.
- Demonstrated leadership in promoting best practices in MLOps, including CI/CD, model versioning, and monitoring for operational excellence.
- Familiarity with adversarial machine learning, including an understanding of related security considerations, model robustness, and data integrity.
Why Proofpoint?
We believe in hiring the best and brightest and cultivating a culture of collaboration and appreciation. As we continue to grow and expand globally, we understand that hiring the right people and developing great teams is key to our success. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.