Senior Machine Learning Engineer
About the job
SummaryBy Outscal
Must have:
- 4+ years of experience with Data Engineering, CICD, Python and SQL
- Deep understanding of end-to-end ML engineering
- Strong data analytics skills, data enrichment, and experience with data pipelines
- Strong verbal and written communication skills
- Experience with publishing blogs, Github projects, and speaking engagements
- A college degree in Computer Science, Data Science, Cybersecurity, or a related domain
Good to have:
- Interest in emerging ML applications such as NLP
- Willingness to work across time zones
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Job ID: 25-349
Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data and applications with innovative solutions that grow and adapt with our customers’ journey. More than 200,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level.
We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.
Envision yourself at Barracuda:
Barracuda is seeking a passionate and seasoned Sr. Machine Learning Engineer to help us deliver excellent anomaly detection capabilities to our XDR Security Product. This is a unique opportunity to work with over 40 different cloud, endpoint, and network data sources blending security knowledge with data engineering. You will be joining our existing India Team of XDR Threat Researchers and ML Experts. Our global 24x7 SOC team is innovative, competitive, and committed to continuous improvement. We are looking for candidates with strong communication, support, and leadership skills. This role requires flexibility and an eagerness to learn new technologies.
Candidates should have a strong foundation in Data and ML engineering, which provides the context for advanced engineering projects within the Barracuda XDR SOC. Any background in security operations is highly preferred.
Tech Stack:
- AWS Microservices
- Elasticsearch and ECS
- Databricks, Structured Streaming or DLT, and MLFlow
- Python: Pandas, PySpark
- Isolation forest and other anomaly algorithms (both supervised and unsupervised)
- Github CI/CD
What you’ll be working on:
- Detection engineering and use-case development.
- ETL, normalization, SQL, python notebooks, anomaly detection models.
- Emerging threat research and threat intelligence gathering.
- Security orchestration, automation, and response (SOAR).
- Fun cutting-edge security projects.
What you bring to the role:
Data Engineering
- At least 4 years of experience with Data Engineering, CICD, Python and SQL is required.
- Deep understanding of end-to-end ML engineering: Data Processing, Model Development, Training and Deployment, Monitoring, etc. – this will be your main focus.
- Strong data analytics skills, data enrichment, and experience with data pipelines are required.
- Interest in emerging ML applications such as NLP.
General Requirements
- Strong verbal and written communication skills.
- Willingness to work across time zones when required – we have team members in US East and Ireland also.
- Experience with publishing blogs, Github projects, and speaking engagements.
- A college degree in Computer Science, Data Science, Cybersecurity, or a related domain.
What you'll get from us:
A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. In addition, you will receive equity, in the form of non-qualifying options.
#LI-hybrid
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