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Full-Time

Senior/Staff ML Ops Engineer

Posted on 7/19/2023

Balbix

Balbix

51-200 employees

AI-driven automated cybersecurity platform

Data & Analytics
Consulting
Hardware
Enterprise Software
Cybersecurity
AI & Machine Learning

Senior

San Jose, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Operations & Logistics
Required Skills
Microsoft Azure
Python
NoSQL
SQL
Java
Postgres
Elasticsearch
MongoDB
Cassandra
Google Cloud Platform
Requirements
  • MS/BS +3 years in Computer Science or a related field
  • Expert programming experience with Python or Java
  • 2 years experience in one of the ML OPs tools like Apache Airflow(Preferred)/Luigi/Argo/ML Flow/Kube Flow/Sage Maker
  • 2+ experience in working with any of the public cloud AWS(preferred)/Azure/GCP
  • Knowledge of SQL databases such as Postgres and NoSQL databases such as MongoDB, Cassandra, Redis
  • Experience working with Columnar Databases and JSON/Parquet/ORC message formats
  • Experience with search engine database such as ElasticSearch is an added bonus
Responsibilities
  • Design and implement automation of model training/handling feedback loop process (continuous training)
  • Implement solutions for continuous observability of ML models and their performance
  • Implement solutions for automation of ML Pipeline components deployment process with appropriate support for quality gate
  • Implement solutions for end to end tracking of model KPIs for a given dataset that support model versioning
  • Develop Platform and Modular approach in assisting quicker development of ML Models, including solutions for feature store, parameter store and time series data
  • Design solutions that are scalable and reduce time for ML model migration to prod
  • Build production quality solutions that are highly scalable and meet acceptance criteria of technical requirements
  • Interface with multiple teams, including ML, UI, backend and data engineering to ensure seamless data sourcing, handling, processing and visualizations.

Balbix is renowned for its comprehensive Security Cloud platform, utilizing advanced AI to dynamically automate and measure cyber risk, which is crucial for making informed cybersecurity decisions in large enterprises. The company’s culture emphasizes continuous innovation in cybersecurity risk management, with a focus on providing actionable insights and quantifiable metrics to Fortune 500 companies. This fosters a workplace that is at the forefront of advancing enterprise-level cybersecurity solutions, making it an attractive environment for professionals passionate about leveraging technology to safeguard digital assets.

Company Stage

Series C

Total Funding

$101.6M

Headquarters

San Jose, California

Founded

2015

Growth & Insights
Headcount

6 month growth

8%

1 year growth

18%

2 year growth

38%
INACTIVE