Jobs at Tiger Analytics

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

The Lead Engineer will oversee AI agent development, ensuring quality and compliance, and collaborate with business teams on AI projects.

Lead product management for digital and data platforms in pharmaceutical R&D, ensuring alignment with scientific and regulatory needs while driving team performance.

The Production Support Engineer role involves troubleshooting using SQL and related technologies, understanding DWH processes, and providing operational support while working flexibly in shifts.

Lead complex data and analytics programs, manage stakeholders and global teams, design AI/ML solutions, and validate outputs in the Insurance domain.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Lead Data Scientist will design, develop, and deploy scalable GenAI solutions while leading projects, mentoring teams, and collaborating with clients to create analytical solutions that drive business value.

Lead high-impact applied ML and analytics initiatives, manage data science workstreams, design ML pipelines, and collaborate with stakeholders to drive measurable outcomes.

Manage end-to-end recruiting for data engineering and analytics roles. Develop candidate pipelines, manage ATS, and collaborate with hiring managers for interviews and offers.

The Agentic AI Engineer is responsible for deploying, executing, and improving Machine Learning solutions, creating scalable systems, and collaborating with teams to drive strategy and business value through analytics.

Manage large-scale data analytics engagements, collaborate with technology teams, and present solutions to stakeholders to drive business value.

Manage large-scale data analytics client engagements, presenting solutions, collaborating with stakeholders, and driving digital and cloud implementations in the P&C insurance domain.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

The role involves engaging with client teams to gather and analyze requirements, managing projects, acting as a point of contact, and collaborating with offshore teams to deliver analytical solutions.

The Manager, BI Consulting will lead BI initiatives, engage stakeholders, analyze requirements, design data solutions, and manage client relationships.

The Data Analyst will manage ETL pipelines using Ab Initio, leverage SQL and Python for data processing, and collaborate across teams to derive insights from large datasets in a cloud environment.

Lead end-to-end AI programs by translating business needs into technical requirements, aligning stakeholders, performing data discovery and EDA, managing data wrangling, and ensuring AI initiatives deliver measurable ROI.

Lead business development and growth in AI/ML, provide technical leadership in data science solutions, and enhance client engagement by delivering strategic data insights.

The Sales Leader drives revenue growth by managing strategic client relationships, leading presales activities, and winning multi-million-dollar Quality Engineering deals.