Vice President-Applied AIML
Vice President-Applied AIML
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Job Description
Are you ready to lead the charge in transforming the financial services industry with cuttingedge AI and ML solutions As a Vice President Applied AI/ML Lead youll have the opportunity to tackle exciting business problems in commercial banking payments and financial services. Join our dynamic technology team and make a direct impact on global business operations.
As a Vice President Applied AI/ML Lead in our technology team you will leverage your expertise in machine learning natural language processing and deep learning to address complex challenges in commercial banking and financial services. You will work collaboratively with a team that values innovation and creativity using your skills to develop and deploy machine learning models that drive business success.
Job Responsibilities:
- Build and train productiongrade ML models on largescale datasets for commercial banking use cases.
- Utilize data processing frameworks like Spark and AWS EMR for feature engineering with structured and unstructured data.
- Apply deep learning models such as CNN RNN and NLP (BERT) for tasks like entity resolution forecasting and anomaly detection.
- Build ML models across public and private cloud environments including Kubernetes.
- Create endtoend ML pipelines to transform applications and business processes into AI systems.
- Develop batch and realtime model prediction pipelines integrated with existing applications.
- Collaborate on largescale data modeling experiments evaluating against baselines and extracting key insights.
Required qualifications capabilities and skills:
- 6 years of experience as a Data Scientist.
- Advanced degree in Computer Science Data Science or a related field.
- Expertise in Python PySpark deep learning frameworks like TensorFlow and MLOps.
- Experience designing and deploying scalable distributed ML models in production.
- Proficiency in analytics tools such as SQL Presto Spark Python and AWS suite.
- Familiarity with machine learning techniques and advanced analytics.
Preferred qualifications capabilities and skills:
- Experience with endtoend pipelines using frameworks like KubeFlow and TensorFlow.
- Experience with crowdsourced data labeling is a plus.
Required Experience:
Chief
Employment Type
Full-Time
