9 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect, implement, and evaluate advanced machine learning models and technical solutions.
- Lead strategic AI and data science initiatives aligned with business objectives.
- Guide data science team members through hands-on project direction, technical best practices, and professional development.
- Partner with cross-functional teams to define project roadmaps and communicate complex technical concepts.
- Identify opportunities for process optimization and technological innovation.
- Monitor advances in machine learning and data science and apply relevant research to practical solutions.
Requirements
- 12+ years of experience as a Machine Learning Engineer or Data Scientist leading high-impact ML/AI projects at scale.
- Deep expertise in Python, pandas, scikit-learn, PyTorch, SQL, feature engineering, model evaluation, and error analysis.
- Understanding of AI/ML technologies and experience applying AI-driven solutions to business problems.
- In-depth knowledge of Large Language Models and their practical applications.
- Strong interpersonal and technical communication skills.
- Preferred: expertise in LLM fine-tuning, prompt engineering, Graph Neural Networks, Knowledge Graphs, and unsupervised clustering and evaluation.
- Preferred: experience with operating systems, distributed architectures, PySpark, AWS, Azure, GCP, and Kubeflow.
- Preferred: research publications or patents and foundational knowledge of networking and network security.
Benefits
- Various health plans.
- Vacation and sick time off plans.
- Parental leave options.
- Retirement options.
- Education reimbursement.
- In-office perks.
- Hybrid work arrangement in Bangalore.
Categories
About Zscaler
Zscaler builds a cloud-delivered zero trust security platform that replaces traditional network security appliances for enterprises and public-sector organizations. Its Zero Trust Exchange provides secure web gateway, zero trust access, CASB, and cloud firewall services, sold as subscriptions and delivered across 160+ global data centers. Founded in 2007 and headquartered in San Jose, it is a public company on NASDAQ (ZS) serving thousands of customers worldwide.