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, , | Client Success | Full-time
Job Title: AI Specialist
Location: Bengaluru
Department: Client Success
Function: Client Experience
Reports To: Director, Client Experience
Role Overview
As an AI Specialist, you will play a pivotal role in bridging the gap between our AI-driven solutions and client needs. You will be responsible for deeply understanding Tookitaki’s product offerings, analyzing client challenges from both technical and operational perspectives, and providing innovative solutions to enhance their product adoption and experience. Your expertise in AI, data science, and product deployment will be crucial in delivering value-driven solutions to our clients.
Key Responsibilities
Product Expertise & Client Understanding
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Gain an in-depth understanding of Tookitaki’s AI-driven financial crime solutions, including model architecture, end-to-end data processing workflow, algorithms, and operational workflows.
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Stay updated on advancements in AI/ML, financial crime compliance, and regulatory requirements.
Client Problem-Solving & Solutioning
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Engage with clients to understand their pain points, both technical (model performance, data integration, system scalability) and operational (workflow efficiency, compliance alignment).
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Perform deep-dive analysis into client issues, diagnosing problems related to AI models, data pipelines, and implementation.
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Work closely with cross-functional teams (Product, Data Science, Engineering, and Customer Success) to develop tailored solutions.
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Provide recommendations on AI model tuning, data quality improvements, feature engineering, and workflow optimization.
Technical Support & Advisory
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Assist in troubleshooting and resolving AI/ML-related issues post-deployment.
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Guide clients on best practices for AI-driven compliance solutions, model retraining, and data pipeline enhancements.
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Collaborate with internal stakeholders to enhance Tookitaki’s product roadmap based on client feedback and industry trends.
Stakeholder Collaboration & Documentation
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Communicate complex AI concepts in an easy-to-understand manner for both technical and non-technical stakeholders.
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Prepare solution documents, client reports, and knowledge bases to streamline AI troubleshooting and operational adoption.
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Conduct training and knowledge-sharing sessions with clients and internal teams.
Key Qualifications & Experience
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Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
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Prior experience in AI/ML, data science, or a related technical role.
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Strong understanding of machine learning models, data engineering, and AI deployment strategies.
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Experience with Python, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
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Familiarity with major cloud platforms (AWS, Azure, GCP), containerization (Docker) and container orchestration (Kubernetes) is a plus.
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Excellent analytics and problem-solving skills, with the ability to diagnose and address both technical and operational issues.
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Strong communication and stakeholder management skills, with the ability to translate AI concepts into actionable business insights.
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Preferred: Tier 1 institute/ organization, Mandarin competency
OKRs
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Increase Client Adoption and Engagement through product setup improvements
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Leverage Data for Client Success through dashboard creation and regular usage reports
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