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Introduction

Financial Services Focus

We are seeking a highly experienced Machine Learning Engineer to lead our data classification initiatives. This role requires a unique blend of deep machine learning expertise, proficiency in Python, and specialized knowledge of data handling within the heavily regulated financial services industry. You will develop and deploy intelligent systems to automatically identify, categorize, and manage sensitive data across relational and non-relational databases.

 

Votre rôle et vos responsabilités

 

  • ML Solution Design & Deployment: Design, build, train, and deploy machine learning models specifically for automated data classification across diverse data stores (SQL, NoSQL, data lakes).

  • Financial Services Data Expertise: Apply a deep understanding of financial data types (e.g., PII, account numbers, transaction data) to tune models for accuracy and relevance within the industry context.

  • Regulatory Compliance Implementation: Ensure ML models and classification rules adhere strictly to stringent regulatory standards across multiple industries (e.g., GDPR, CCPA, PCI-DSS, SOX, Basel Accords).

  • Containerized ML Operations: Utilize modern MLOps practices, deploying and managing machine learning models within containerized environments (Docker) for scalability and reproducibility.

  • Technology Stack Proficiency: Primarily develop using Python ML frameworks, while leveraging expertise in Java and JavaScript for integration with existing enterprise systems and front-end classification interfaces.

  • Tooling & Frameworks: Utilize expertise in various machine learning frameworks and data science platforms.

  • Methodology & Rules: Implement robust data classification methods, leveraging both statistical ML approaches and expert-defined business rules for high-precision results

  • The ideal candidate would have a strong technical aptitude and a flair for picking up new skills 

  • The role provides ample opportunity for learning and career growth and is only constrained by the individual’s appetite for learning

 

 

Formation requise
Licence
Formation préférée
Master
Expertise professionnelle et technique requise

  • 8+ years of IT experience

  • ML Expertise: Proven experience as a Machine Learning Engineer with a strong portfolio of deployed ML solutions, particularly those involving natural language processing or data categorization.

  • Python Mastery: Expert-level proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas) for building sophisticated classification models.

  • Database Fluency: Hands-on experience working with data housed in both relational databases (e.g., PostgreSQL, Oracle, DB2) and non-relational databases (e.g., MongoDB, Cassandra).

  • Financial Services Data: In-depth knowledge of data structures, governance needs, and sensitive information types prevalent in the financial services sector.

  • Regulatory Knowledge: Strong understanding of global data privacy and compliance regulations applicable to data management.

  • Containerization: Practical experience with Docker and/or Kubernetes for deploying scalable microservices and ML models.

 

Expertise professionnelle et technique préférée

  • Diverse Tooling Experience: Familiarity with a range of data science and analytics platforms, such as MATLAB, Altair RapidMiner, or IBM SPSS Statistics.

  • Java & JavaScript Experience: Proficiency in Java for backend integration and/or JavaScript for front-end interface development related to data governance platforms is highly desirable.

  • Data Governance Tools: Familiarity with broader data governance and catalog tools (e.g., Informatica, Alation) and how ML integrates with these platforms.

  • Certifications: Relevant certifications in Machine Learning or Data Governance are a plus.

 

À propos de la Business Unit

IBM Software insuffle de l'intelligence dans les opérations métier de base, de l'apprentissage automatique à l'IA générative, afin d'aider les organisations à être plus réactives, plus productives et plus résilientes. IBM Software aide ses clients à mettre l'IA en action dès maintenant pour créer une valeur réelle avec confiance, rapidité et assurance dans les domaines du travail numérique, de l'automatisation informatique, de la modernisation des applications, de la sécurité et du développement durable. La capacité d'utiliser toutes les données est essentielle à cet égard, car l'IA ne vaut que ce que valent les données qui l'alimentent. Dans la plupart des organisations, les données sont réparties entre plusieurs clouds, sur site, dans des centres de données privés et à la périphérie. La plateforme d'IA et de données d'IBM met à l'échelle et accélère l'impact de l'IA avec des données fiables, et fournit des capacités de pointe pour entraîner, régler et déployer l'IA dans l'ensemble de l'entreprise. La plateforme cloud hybride d'IBM est l'une des approches les plus complètes et les plus cohérentes en matière de développement, de sécurité et d'opérations dans les environnements hybrides : une base flexible pour exploiter les données, où qu'elles se trouvent, afin d'étendre l'IA au coeur de l'entreprise.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Autres détails pertinents sur le poste

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