Applied Scientist

Job Description : Applied Research Engineer

Position Overview Job Title

Applied Research Engineer Location

India Department

Technology Reporting To

Head of Research

Tookitaki is seeking an

Applied Research Enginee

r with

6+ years of experienc

e to lead

cutting-edge AI and machine learning researc

h in regulatory compliance and financial crime detection. This role will focus on

developing innovative AI model

s, optimizing algorithms, and

translating research into real-world application

s. The ideal candidate will have a strong foundation in

machine learning, deep learning, and data scienc

e, along with experience in deploying research-driven solutions at scale

• Position Purpo seTh

e Applied Research Engine

er will play a pivotal role in advancin

g Tookitaki’s AI-driven compliance solutio

ns by developing nove

l AI / ML algorith

ms and ensuring their practical implementation. This role bridges the gap betwee

n research and producti

on, focusing o

n algorithm development, experimentation, and optimizati

on to enhance Tookitaki’s capabilities i

n fraud detection, risk management, and anomaly detecti

on. The role also involve

s collaborating with data scientists, engineers, and regulatory tea

ms to create cutting-edge, regulatory-compliant AI solution

s. Key Responsibilit iesAI / ML Model Research & Developm entResearch, design, and impleme

nt state-of-the-art AI / ML mod

els for fraud detection, risk assessment, and financial crime preventi on.Optimize models f

or accuracy, efficiency, and scalabil

ity across various financial datase ts.Experiment wi

th graph-based AI, deep learning, and unsupervised learning techniq

ues to improve detection capabiliti es.Algorithm Optimization & Innovat ionDevelop n

ew feature engineering and model selection techniq

ues to enhance AI model performan ce.Optimize model inference speed f

or real-time and batch processing scenar

i os.Explo

re federated learning and privacy-preserving AI techniq

ues to ensure data security and complian ce.Deployment & Engineering Collaborat ionWork closely wi

th ML engineers and software develop

ers to deploy AI models into producti on.Implement scalable AI pipelines that can hand

le large-scale financial data process

i ng.Ensure AI solutions a

re explainable, interpretable, and aligned with regulatory requireme

n ts.Data Analysis & Feature Engineer ingAnalyze structured and unstructured financial datasets to extra

ct meaningful features for ML mod

e ls.Design and build robu

st data preprocessing pipeli

nes to enhance model accuracy and generalizati on.Work with data engineering teams

to ensure efficient and scalable data ingest

i on.AI Ethics & Complia nceDevel

op transparent and explainable AI mod

els to meet financial industry compliance standar ds.Ensure AI models adhere

to ethical AI guidelines, fairness, and bias mitigation strateg

i es.Collaborate with legal and compliance teams

to align AI research with evolving regulatory framewo

ks. Qualifications and Sk illsEduca tionMaster’s or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or related f

i eld.Strong research background

in AI / ML, deep learning, or statistical mode

l ing.Experi ence6+ y

ears of experience

in applied AI research, machine learning, or data sci

e nce.Proven track record

in developing and deploying AI / ML mo

dels in real-world applicati ons.Experience working w

ith financial datasets, fraud detection, or regulatory compliance AI mo

dels (preferr ed).Technical Exper tiseStrong programming sk

ills in Python, TensorFlow, PyTorch, or JAX.Hands-on experience

in NLP, anomaly detection, graph-based AI, and time-series anal

y sis.Experience w

ith big data processing framew

orks (Spark, Hadoop) and cloud AI platforms (AWS / G CP).Expertise

in model evaluation, hyperparameter tuning, and performance optimiza

t ion.Knowledge

of explainable AI (XAI), adversarial learning, and bias mitiga

t ion.Soft Sk illsStr

ong problem-solving sk

ills and the ability to transl

ate complex research into practical applicat

i ons.Excell

ent collaboration and communication sk

ills to work with cross-functional te ams.Ability

to balance research innovation with real-world constraints and scalabi

l ity.Strong analytical mindset with a passion

for continuous learning and innova

t ion.Key Competen ciesAI / ML Research & Develop

ment : Ability

to research, prototype, and imple

ment cutting-edge AI mod els.Algorithm Optimiza

tion : Expertise

in fine-tuning mo

dels for real-world applications and performance improveme nts.Scalability & Deploy

ment : Hands-on experience

in deploying ML models at s

c ale.Regulatory & Compliance Aware

ness : Understanding

of AI ethics, explainability, and financial regulat

i ons.Cross-Team Collabora

tion : Works closely w

ith engineering, product, and compliance t

eams to drive AI innovat ion.Success Met ricsSuccessfu

lly develop and deploy at least two AI models per

year to enhance Tookitaki’s compliance soluti ons.Impr

ove model accuracy and efficiency by

20% through research-driven optimizati ons.Ens

ure seamless deploy

ment of AI models into production w

ith 99.9% up

t ime.Red

uce false positives in financial fraud detection by

25%, improving risk assessment accur acy.Publish at le

ast one research paper or internal technical re

port annually on AI advanceme nts.Bene fitsCompetitive Sa

lary : Aligned with industry standards and experie nce.Professional Develop

ment : Access to training in big data, cloud computing, and data integration to ols.Comprehensive Bene

fits : Health insurance and flexible working opti ons.Growth Opportuni

ties : Career progression within Tookitaki’s rapidly expanding Services Delivery t

eam. Introducing Took itakiTookitaki : The Trust Layer for Financial Ser vicesTookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars : preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compli

ance. How We Build Trust : Our Unique Value Propos itionsAFC Ecosystem – Community-Driven Financial Crime Prot ectionThe Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics. Leading digital banks and payment platforms rely on Tookitaki to protect them against evolving financial crime threats. By joining this ecosystem, institutions benefit from the collective intelligence of top industry players, ensuring robust prote ction.FinCense – End-to-End Compliance Pl atformOur FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention—from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance, providing the peace of mind they need as they

scale. Industry Recognition and Global ImpactTookitaki’s innovative approach has been recognized by some of the leading financial entities in Asia. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer, Forbes Asia 100 to Watch, and Chartis RiskT ech100.Serving some of the world’s most prominent banks and fintech companies, Tookitaki is continuously redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for ev

eryone.