Be an early applicantLess than 25 applicants

Company

Zscaler · 3 hours ago

Senior Machine Learning Engineer

San Jose, CA

Full-time

Remote

Mid, Senior Level

$122K/yr - $175K/yr

5+ years exp

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Cloud SecurityCyber Security

H1B Sponsor Likely

Hiring Manager

Yogesh Chhabra,CPHR

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Responsibilities

Develop and deploy end-to-end machine learning pipelines, from data preprocessing to model deployment.

Design and implement applied ML models for LLM, predictive analytics, anomaly detection, and optimization, etc.

Collaborate with cross-functional teams, including data engineers and product developers, to integrate models into production systems.

Analyze large datasets to uncover actionable insights and improve model performance.

Stay updated on advancements in machine learning and adapt them to solve practical business problems.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonSQLTensorFlowPyTorchScikit-learnStatistical ModelingData ManipulationData AnalysisMatplotlibTableauHadoopSparkAWSAzureGCPDeep LearningNLPMLOps

Required

Bachelor’s or advanced degree in Computer Science, Machine Learning, Statistics, or a related field, with 5+ years of applied experience in machine learning and data modeling.

Proficient in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn), with expertise in statistical modeling techniques like regression, clustering, and decision trees.

Hands-on experience deploying ML models in production using modern tools, combined with strong data manipulation and analysis skills; familiarity with visualization tools like Matplotlib or Tableau.

Demonstrated problem-solving abilities and capability to work independently on complex tasks.

Preferred

Experience with big data technologies like Hadoop and Spark, and proficiency in cloud platforms such as AWS, Azure, or GCP.

Knowledge of deep learning techniques, neural network architectures, and domain-specific AI solutions like NLP.

Understanding of MLOps best practices for scalable model deployment and monitoring.

Benefits

Various health plans

Time off plans for vacation and sick time

Parental leave options

Retirement options

Education reimbursement

In-office perks, and more!

Company

Zscaler

Glassdoor

4.0

Zscaler is a global cloud-based information security company that enables secure digital transformation for mobile and cloud.

Founded in 2008

San Jose, California, USA

5001-10000 employees

https://www.zscaler.com

H1B Sponsorship

Zscaler has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (77)

2022 (137)

2021 (111)

2020 (63)