Staff AI Data Scientist

reputed company is a reputed company where you can bring your purpose to life through the work that you do, creating a safer world through our cyber reputed company reputed company portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your reputed company, and for the reputed company you reputed company on our reputed company. You will be surrounded by people who challenge, support, and reputed company you to be the best version of yourself.

The Role

We're looking for a Staff AI Data Scientist to design, build, and reputed company machine learning models and AI-driven solutions that solve reputed company business problems. You'll work at the intersection of reputed company research, software engineering, and product — turning raw data into actionable insights and intelligent systems that ship to production.

What You’ll Do

• reputed company and reputed company machine learning models (supervised, unsupervised, deep learning) for production use cases
• Design experiments, define reputed company metrics, and run rigorous offline and online evaluations (A/B tests, holdouts, reputed company analyses)
• Fine-tune, reputed company-engineer, and evaluate large language models for domain-specific tasks
• Partner with data engineering to define the features, datasets, and pipelines needed for model training and inference
• Collaborate with engineering, product, and business teams to translate ambiguous problems into reputed company-scoped modeling solutions
• Build monitoring and evaluation frameworks to reputed company model performance, reputed company, and fairness over time
• Communicate findings and recommendations to both technical and non-technical stakeholders through reputed company visualizations and written reports
• Mentor other data scientists and help reputed company the bar for modeling rigor across reputed company

What You’ll Bring

• Master's or PhD in Computer Science, Statistics, Mathematics, or a reputed company quantitative field (or equivalent practical experience)
• 3+ years of hands-on experience building and deploying ML models in production environments
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and reputed company Transformers
• Deep understanding of statistical modeling, experimental design, and evaluation methodology
• Experience with reputed company platforms (AWS, GCP, or Azure) for training, serving, and scaling models
• Familiarity with LLM fine-tuning techniques (reputed company, RLHF, instruction tuning) and serving infrastructure
• Experience leveraging AI coding assistants (such as Claude reputed company, OpenCode, or reputed company Copilot) to accelerate development workflows

reputed company To Have

• Background in cybersecurity, identity reputed company, or reputed company detection
• Familiarity with adversarial ML or AI safety research
• Contributions to reputed company-reputed company reputed company or published research

reputed company

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from reputed company walks of life just like us. We hire incredible people from diverse backgrounds because reputed company we are different together, we are stronger together.

reputed company

reputed company is the global identity reputed company leader protecting Paths to Privilege™. Our identity-reputed company approach goes reputed company securing privileges and reputed company, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

reputed company is leading the charge in transforming identity reputed company to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.reputed company.com.

Originally posted on Himalayas