6.0 - 10.0 years

0 Lacs

karnataka

On-site

As an Applied Research Engineer at Tookitaki in India, you will lead cutting-edge AI and machine learning research in regulatory compliance and financial crime detection. With over 6 years of experience, you will focus on developing innovative AI models, optimizing algorithms, and translating research into real-world applications. Your role will involve collaborating with data scientists, engineers, and regulatory teams to create cutting-edge, regulatory-compliant AI solutions. You will play a pivotal role in advancing Tookitaki's AI-driven compliance solutions by developing novel AI/ML algorithms and ensuring their practical implementation. This involves research, design, and implementation of state-of-the-art AI/ML models for fraud detection, risk assessment, and financial crime prevention. You will optimize models for accuracy, efficiency, and scalability across various financial datasets, experimenting with graph-based AI, deep learning, and unsupervised learning techniques to improve detection capabilities. Your responsibilities will also include developing new feature engineering and model selection techniques to enhance AI model performance, optimizing model inference speed for real-time and batch processing scenarios, and exploring federated learning and privacy-preserving AI techniques to ensure data security and compliance. You will work closely with ML engineers and software developers to deploy AI models into production, implement scalable AI pipelines for large-scale financial data processing, and ensure AI solutions are explainable, interpretable, and aligned with regulatory requirements. In addition, you will analyze structured and unstructured financial datasets to extract meaningful features for ML models, design and build robust data preprocessing pipelines to enhance model accuracy and generalization, and work with data engineering teams to ensure efficient and scalable data ingestion. You will develop transparent and explainable AI models to meet financial industry compliance standards, ensure adherence to ethical AI guidelines, fairness, and bias mitigation strategies, and collaborate with legal and compliance teams to align AI research with evolving regulatory frameworks. To qualify for this role, you should have a Masters or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field, with a strong research background in AI/ML, deep learning, or statistical modeling. You should have at least 6 years of experience in applied AI research, machine learning, or data science, along with expertise in Python, TensorFlow, PyTorch, or JAX, NLP, anomaly detection, graph-based AI, time-series analysis, big data processing frameworks (Spark, Hadoop), and cloud AI platforms (AWS/GCP). Additionally, you should possess strong problem-solving skills, excellent collaboration and communication skills, and the ability to balance research innovation with real-world constraints and scalability. At Tookitaki, you will have the opportunity to develop and deploy AI models to enhance compliance solutions, improve model accuracy and efficiency, ensure seamless deployment of AI models into production, reduce false positives in financial fraud detection, and contribute to AI advancements through research papers and technical reports. You will receive a competitive salary, access to professional development training, comprehensive benefits, and growth opportunities within the rapidly expanding Services Delivery team. Tookitaki is transforming financial services by building a robust trust layer focused on preventing fraud and combating money laundering. Leveraging collaborative intelligence and a federated AI approach, Tookitaki delivers powerful, AI-driven solutions for real-time fraud detection and AML compliance. By serving leading banks and fintech companies globally, Tookitaki is redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.,

Posted 1 day ago

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