Job
Description
As an Application Engineer at Tookitakis, you will be responsible for configuring the FinCense platform to meet client-specific requirements using your strong data science background and technical expertise in big data technologies. Your exceptional problem-solving skills will ensure successful client deployments and ongoing system performance. **Key Responsibilities:** - **Product Configuration and Customization** - Configure Tookitakis FinCense platform based on client-specific requirements and workflows. - Implement data science models, algorithms, and workflows tailored to client use cases. - Collaborate with Client Enablement and Deployment Engineers to align configurations with best practices and ensure readiness for go-live. - **Data Science and Analytics Support** - Assist in designing and optimizing data pipelines for real-time and batch processing. - Configure and fine-tune algorithms for AML (Anti-Money Laundering) and fraud detection. - Validate model performance and ensure alignment with compliance objectives. - **Technical Expertise and Issue Resolution** - Collaborate with Data Engineers to integrate client data into the FinCense platform. - Troubleshoot and resolve performance issues related to data ingestion, processing, and model execution. - Leverage expertise in Big Data technologies (Hadoop, Spark, Hive, ElasticSearch) to optimize platform performance. - **Collaboration and Cross-Functional Alignment** - Partner with the Client Enablement team to deliver training and documentation for end-users. - Work closely with Product Management to provide feedback on product enhancements. - Support Deployment Engineers in ensuring successful on-premise and cloud deployments. - **Continuous Improvement and Documentation** - Maintain detailed documentation of configurations, workflows, and issue resolutions. - Develop templates, FAQs, and troubleshooting guides to support the Services and Client Success teams. - Identify and implement process improvements to enhance deployment efficiency and client satisfaction. **Qualifications and Skills:** - **Education** - Required: Bachelor's degree in Computer Science, Data Science, or related technical field. - Preferred: Master's degree in Data Science, Artificial Intelligence, or Big Data Analytics. - **Experience** - Minimum: 6 years of experience in configuring SaaS platforms or data-intensive systems. - Proven track record in deploying or configuring platforms for banks, fintech, or regulated industries. - **Technical Expertise** - Strong knowledge of Big Data frameworks: Hadoop, Spark, Hive, ElasticSearch, and Kubernetes. - Proficiency in programming languages: Python, SQL, and familiarity with data manipulation libraries. - Experience in model deployment: Optimizing ML/AI workflows and data pipelines for large-scale systems. - Understanding of cloud infrastructure: AWS (preferred), GCP, or Azure. - **Soft Skills** - Excellent communication skills to explain technical solutions to non-technical stakeholders. - Strong problem-solving skills with an analytical mindset. - Ability to collaborate effectively in cross-functional teams. Join Tookitakis and be a part of revolutionizing financial services compliance with seamless, data-driven, and client-specific solutions!,
