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Sr. Engineer - ML Ops
CrowdStrike
posted 3mon ago
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Flexible timing
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Job Description
As an MLOps Engineer, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists, & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. you'll be a key contributor in a production- focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets.
What you'll Do:
- Help design, build, and facilitate adoption of a modern ML-Ops platform
- Modularize complex ML code into standardised and repeatable components
- Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring
- Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines
- Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines
- Review code changes from data scientists and champion software development best practices
- Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment
What you'll Need:
- B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 10+ years related experience; or M.S. with 8+ years of experience; or Ph.D with 6+ years of experience.
- 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used
- 3+ years experience with ML-Ops tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc
- Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable.
- Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc)
- Production experience with infrastructure-as-code tools such as Terraform, FluxCD
- Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools
- Expert level experience with CI/CD frameworks such as GitHub Actions
- Expert level experience with containerization frameworks
- Strong analytical and problem solving skills, capable of working in a dynamic environment
- Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes.
Experience with the Following is Desirable:
- Go
- Iceberg
- Pinot or other time-series/OLAP-style database
- Jenkins
- Parquet
- Protocol Buffers/GRPC
Benefits of Working at CrowdStrike:
- Remote-first culture
- Market leader in compensation and equity awards with option to participate in ESPP in eligible countries
- Competitive vacation and flexible working arrangements
- Physical and mental we'llness programs
- Paid parental leave, including adoption
- A variety of professional development and mentorship opportunities
- Access to CrowdStrike University, LinkedIn Learning and Jhanna
- Offices with stocked kitchens when you need to fuel innovation and collaboration
- Birthday time-off in your local country
- Work with people who are passionate in our mission and Great Place to Work certified across the globe
Employment Type: Full Time, Permanent
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What people at CrowdStrike are saying
Rating based on 1 Senior Engineer
review
Anonymous · Software Development
Likes
Remote work and benefits
Dislikes
No clarity in the role and work
Read 1 reviewSenior Engineer salary at CrowdStrike
reported by
7
employees
with 12-20
years exp.
₹40.5
L/yr - ₹97
L/yr
645%
more
than the average Senior Engineer Salary in India
View more details
What CrowdStrike employees are saying about work life
based on 71 employees
Flexible timing
Monday to Friday
No travel
Day Shift
CrowdStrike Benefits
Submitted by Company
Competitive employee stock purchase plan Health & wellness programs Comprehensive health benefits Professional development Parental & fertility assistance
Submitted by Employees
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