Wells Fargo Senior Specialty Software Engineer 

India, Karnataka, Bengaluru 

978508736

Job Description

In this role, you will:

• Work with cross functional teams to identify, strategize, and execute Machine Learning initiatives focused on Cyber Security.
• You will be working with the team to design, code, train, test, deploy, and iterate on large scale cloud-native machine learning platforms, focused on cyber security related use cases
• Use Data Science skills to investigate data, develop models and analytics in order to detect and prevent cyber security driven anomalous behaviors
• Use Link Analysis and Graph based analytics to discover account abuse and identify fraudulent activities
• You will be shaping the direction of machine learning and artificial intelligence in Cyber Security at Wells Fargo
• Decision key issues which may arise during development or implementation
• Collaborate and consult with peers, colleagues and managers to resolve and achieve goals

Required Qualifications

• 2+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Evidence of real-life experience with end-to-end machine learning projects
• In-depth knowledge of statistics and machine learning (required: supervised and unsupervised learning)
• Understanding of current challenges surrounding artificial intelligence: A.I. ethics, fairness, data leakage, model drift, etc.
• Understanding of Learning subfields:
  • Reinforcement learning,
  • Multi-task learning,
  • Transfer learning, and
  • Semi-supervised learning
• Experience using Python and related libraries is desired
• Strong grasp of distributed systems and cloud technologies (Azure, GCP, AWS, etc.)
• Understanding of relational databases
• Knowledge of data streaming and messaging frameworks (Kafka, Spark Structured Streaming, Flink, etc.)
• SQL experience (any dialect)
• Experience with containers and container-based deployment environment (Docker, Kubernetes, etc.)
• Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.

14 May 2024