Machine Learning Engineer
Sumo Logic
NumpyPandasPythonScikit-Learn
Senior Staff Machine Learning Engineer
Flex
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $188,000 - $225,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnSparkTensorflow
About the role
- Drive development, deployment, and scalability of machine learning models in production environments.
- Own the end-to-end lifecycle of machine learning projects, from data collection and preprocessing to model deployment, monitoring, and maintenance.
- Build, maintain, and optimize robust data pipelines that support model development, training, and deployment at scale.
- Implement machine learning algorithms and models that meet performance, scalability, and reliability requirements.
- Collaborate with data scientists, engineers, and product teams to design and deploy ML systems that address business and product needs.
- Continuously monitor and improve model performance, conducting experiments and tuning hyperparameters.
- Leverage distributed computing frameworks and cloud platforms to process large-scale datasets efficiently.
- Stay up-to-date with advancements in machine learning, software engineering practices, and deployment strategies.
Requirements
- Master’s or Ph.D. in Computer Science, Engineering, or a related field.
- 6+ years of experience as a Machine Learning Engineer, with expertise in building and deploying machine learning models in production environments.
- Strong proficiency in Python, or similar programming languages, and experience with ML libraries like TensorFlow, PyTorch, and scikit-learn.
- Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark, Kubernetes).
- Proven track record of implementing end-to-end machine learning pipelines, from data preprocessing to production deployment and monitoring.
- Strong background in model optimization, version control, and CI/CD practices for machine learning.
- Excellent problem-solving abilities and the capacity to collaborate with cross-functional teams to deliver high-quality, production-ready systems.
