Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 3900+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you'll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.
We're Great Place to Work-Certified. Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.
About the role
- Drive innovative AI initiatives for clients leveraging the latest tools and technology
- Ideate, prototype and develop AI solutions for enterprise problems
- Collaborate with cross-functional teams to align AI solutions with business objectives.
- Partner with product teams to identify opportunities where AI can solve user problems or create value.
- Translate technical possibilities into intuitive, user-focused AI products
- Hands on experience with Generative AI, Gen AI Agents, Large scale machine learning systems
- Strong software development background and experience
- Self-driven to pick up and drive initiatives with the latest and evolving technologies
- Knowledge and understanding of enterprise data and AI platforms
- Demonstrated experience in going from ideas to MVP in agile and quick manner while working a group of talented developers, AI engineers, product managers and client teams
Qualifications:
- Educational Background: Bachelor's/Master's/Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field with 10+ years of relevant experience.
- Technical Expertise:
- Proven experience in software development, platforms, and system architecture.
- Hands-on expertise in machine learning, deep learning, and AI model development.
- Strong command of programming languages such as Python, Java, or C++.
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch).
- Data Science Skills: Experience in statistical modelling, data wrangling, and visualization tools.
- Client Engagement: Track record of working directly with clients to design and implement innovative solutions.
- Soft Skills: Excellent communication, leadership, and problem-solving abilities.
Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
