Über
Job Title:
GenAI Engineer
Work Location:
Irving, TX
Job Summary: • The GRU Data Reconciliation and Engineering team is responsible for delivering enterprise solutions and common operating model which provides scalable efficient and standardise processing for complex reconciliations in the global processing hubs. • We are looking for a candidate who can analyze substantial amounts of raw information to find patterns and build AIML models Critical thinking and problem-solving skills are essential for interpreting data We also want to see a passion for machine learning and research. • This role will be responsible for all aspects of Reconciliation platform design and development and the delivery and adoption of our next generation solution.
Responsibilities: • As part of the Global Reconciliation Utility GRU and Data Engineering team this role will be responsible for development and implementation of GRU ML models strategies. • Lead ideation technical development and launch of innovative AI ML models and ensure the design and usage adheres to the overall client's architecture blueprint. • Steer the ML models development process ensuring compliance with budget scope and project timelines • Undertake preprocessing of structured and unstructured data. • Analyze substantial amounts of information to discover trends and patterns. • Build predictive models and machine learning algorithms. • Combine models through ensemble modelling. • Present information using data visualization techniques. • Propose solutions and strategies to business challenges. • Collaborate with engineering and operational teams to ensure ML Models success and integration. • Provide in depth analysis with interpretive thinking to define issues and develop innovative solutions. • Define ML Models roadmaps and schedules in collaboration with technical and business teams. • Facilitate the creation and maintenance of proper ML Models documentation. • Foster strong relationships with key stakeholders and external partners to support ML Models development.
Qualifications: • 10 years of experience in large Financial Services or Insurance or Telecom companies. • 10 years of AIML Development and Big Data experience. • Expertise with data reconciliations data quality large data processing and controls. • Expertise leading large scale Enterprise Transformation initiatives with a clear track record of success. • Ability to articulate intricacies of Technology Architecture. • Deep functional and technical experience in Capital Markets across Front Office Middle Office Operations Risk Finance. • Demonstrated leadership management and development skills. • Experience with predictive analytics using large and complex datasets. • Enthusiastic about AI and ML optimizations and opensource technologies.
Skills required: • Strong problem-solving skills with an emphasis on ML Models development. • Experience working with and creating data architectures. • Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks etc and their real-world advantages drawbacks. • Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications. • Excellent written and verbal communication skills for coordinating across teams. • A drive to learn and master innovative technologies and techniques. • familiar with the following software tools. • Knowledge and experience in statistical and data mining techniques GLM Regression Random Forest Boosting Trees text mining etc. • Experience querying databases and using statistical computer languages R Python SQL. • Experience using web services Redshift S3 Spark. • Experience building MLOPS framework using Airflow Kubernetes Celery setup. • Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modeling clustering decision trees neural networks etc. • Experience with distributed data computing tools MapReduce Hadoop Hive Spark MySQL. • Experience with BI tools Tableau QlikView.
Education:
Bachelors degree University degree or equivalent experience
Masters degree preferred
Sprachkenntnisse
- English
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