Remote Senior Machine Learning Engineer

Description:

• Zscaler is seeking a Senior Machine Learning Engineer to design, implement, and optimize machine learning solutions.
• The role involves developing and deploying end-to-end machine learning pipelines, from data preprocessing to model deployment.
• Responsibilities include designing and implementing applied ML models for LLM, predictive analytics, anomaly detection, and optimization.
• The engineer will collaborate with cross-functional teams, including data engineers and product developers, to integrate models into production systems.
• Analyzing large datasets to uncover actionable insights and improve model performance is a key part of the job.
• The position requires staying updated on advancements in machine learning and adapting them to solve practical business problems.
• This role offers the opportunity to directly impact Zscaler's data-driven initiatives and drive innovation across the organization.
• The position is remote and reports to the Senior Manager, Data Science.

Requirements:

• A Bachelor’s or advanced degree in Computer Science, Machine Learning, Statistics, or a related field is required, along with 5+ years of applied experience in machine learning and data modeling.
• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn) is necessary, with expertise in statistical modeling techniques like regression, clustering, and decision trees.
• Hands-on experience deploying ML models in production using modern tools is essential, along with strong data manipulation and analysis skills; familiarity with visualization tools like Matplotlib or Tableau is preferred.
• Demonstrated problem-solving abilities and the capability to work independently on complex tasks are required.
• Preferred qualifications include 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 is advantageous.
• Understanding of MLOps best practices for scalable model deployment and monitoring is also preferred.

Benefits:

• Zscaler offers various health plans to support employee well-being.
• Time off plans for vacation and sick time are provided to ensure work-life balance.
• Parental leave options are available for new parents.
• Retirement options are included to help employees plan for their future.
• Education reimbursement is offered to support continuous learning and development.
• In-office perks and additional benefits are available to enhance the employee experience.