AI Engineer II - Python, Bigdata & Cloud

Overview

• Perform technical aspects of software development for assigned applications including design, developing prototypes, and coding assignments.
  
• Perform hands-on architecture, design, and development of systems.
  
• Drive consistent development practices with respect to tools, common components, and documentation.
  
• Spend 80% of time writing code and testing, and remainder of time collaborating with stakeholders through ongoing product/platform releases.
  
• Develop deep understanding of tie-ins with other Amex systems and platforms within the supported domains.
  
• Perform ongoing refactoring of code, utilize visualization and other techniques to fast-track concepts, and deliver continuous improvement.
  
• Identify opportunities to adopt innovative technologies.
  
• Provide continuous support for ongoing application availability.
  
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  Work with product owners to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues.
  
   
• Research and learn new and upcoming technologies, and apply them to develop working software.
  
• Debug software components and identify code defects for remediation.
  
• Deploy, support, and monitor software across test, integration, and production environments.
  
• Automatically scale applications based on demand projections.
  
• Influence team members with innovative changes and improvements by challenging status quo and demonstrating risk taking.
  
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  Demonstrate increased self-reliance to achieve team goals.
  

  Minimum Qualifications
  

• 2+ years of software development experience with proven hands-on experience building data driven products
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  Good in Computer Science fundamentals in object-oriented design, data structures, algorithm design, complexity analysis, problem solving and diagnosis
  
   
• Strong analytical and problem-solving skills
  
• Adept at any one of the programming language Java/Python and Open to learn new programming languages.
  
• Well conversant with Linux / Unix tools
  
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  Critical Factors to Success (Outcome Driven)
  

  Technical/Platforms:
  

• Experience in large scale platform engineering
  
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  Experience in application development and integration within one or more Cloud platforms such as Google Cloud Platform, Amazon Web Services, etc.
  
• Understanding of Machine Learning Ecosystem with hands on experience working on Airflow, Jupyterlab, Jupyterhub, MLFlow like frameworks. 
  
• Experience with object-oriented design and coding with Python & related framework.
  
• Proficiency on Linux.
  
• Understanding and experience with UNIX / Shell scripting
  
• Proficiency on distributed systems concepts like load balancing, shards, distributed transactions. 
  
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  Understanding of data structures, algorithms & Design Patterns
  

  Good To Have:

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  Experience building fast and scalable machine learning and analytical algorithms and executing all tasks from design to deployment and monitoring
  
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  Experience in developing Web services, micro-services, and REST
  
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  Experience working with distributed systems using Spark, Hive in Hadoop at significant scale in a production environment.
  

  Functional:
  

• Familiarity with design & coding across multiple platforms & languages
  
• Strong analytical & strategic thinking skills
  
• Ability to interpret technical /business objectives and challenges
  
• Porting/Software Configuration
  
• Agile Methodologies
  
• Software development/ testing
  
• Product Engineering Knowledge
  
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  Platform engineering knowledge (e.g. Financial Tech/Ecommerce/ Aggregator platforms)

  Business Outcomes:
  

• Design and deliver innovative AIML / Big Data platform solutions across multiple business units
  
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  Identify and adopt new technologies to enhance user experience and predict future challenges

  Leadership Outcomes:
  

• Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
  
• Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
  
• Demonstrate learning agility, make decisions quickly and with the highest level of integrity
  
• Lead with a digital mindset and deliver the world's best customer experiences every day.
  

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities