Senior Software Engineer - Hadoop Machine Learning NLP Java

Job Description

• American Express is a global services company and the world s largest card issuer. Our direct relationships with many millions of consumers businesses and merchants worldwide - combined with our leading edge marketing information management and rewards capabilities - enable us to offer an array of valuable services that enrich lives build business success encourage financial responsibility and create communities of people with common interests.
• American Express for 9th consecutive year has been voted among India s top 10 workplaces by the Great Place to Work institute. In recognition of our consistent performance we were nominated to the Great Place to Work Hall of Fame .
• At American Express we serve customers not transactions. We re widely known for providing superior customer service and have been recognized for a number of achievements including being ranked highest in customer satisfaction within the credit card industry by J.D. Power for seven consecutive years.
• A career at American Express is rich in experience and offers opportunities to build lasting relationships with our customers.
• Come join us and realize your potential
• Description:
• American Express is looking for energetic high- performing software engineers to help shape our technology and product roadmap. You will be part of the fast- paced entrepreneurial Digital Workplace team and will contribute to build solutions that enhance colleague experience by leveraging AI/ ML and Big Data capabilities.
• Focus:
• Leads the design development troubleshooting and debugging work efforts for customer- facing applications business applications and/ or internal end- user applications.
• Key Responsibilities:
• Software Development -
• Perform technical aspects of software development for assigned applications including design developing prototypes and coding assignments
• Function as a leader on an agile team by contributing to software builds through consistent development practices (tools common components and documentation)
• Lead code reviews and automated testing
• Debug software components and identify code defects for remediation
• Leads the deployment support and monitoring of software across test integration and production environments.
• Empower teams to automate deployments in test or production environments
• Empower teams to automatically scale applications based on demand projections
• Leadership -
• Takes accountability for the success of the team achieving their goals
• Drives the team s strategy and prioritizes initiatives
• Influence team members by challenging status quo demonstrating risk taking and implementing innovative ideas
• Be a productivity multiplier for your team by analyzing your work flow and contributing to enable the team to be more effective productive and demonstrating faster and stronger results.
• Mentor and guide team members to success within the team
• Offer of employment with American Express is conditioned upon the successful completion of a background verification check subject to applicable laws and regulations.
• Qualifications
• Qualification:
• 10 years of software development experience in a professional environment and/ or comparable experience such as:
• Demonstrated experience with working in an Agile collaborative environment to understand requirements design code and test innovative applications in areas such as machine learning computational linguistics and Natural Language Processing (NLP) advanced and semantic information search extraction induction classification and exploration.
• Experience in high- scale web applications and architecture
• Big Data :
• o Strong coding skills and fundamentals in data structures predictive modeling and big data concepts
• o Experience with Big data analysis platforms like NoSQL Spark MapReduce HD Insights.
• o Demonstrated experience with Big Data infrastructure and Big Data Components/ Frameworks (Hadoop HBase MapReduce HDFS Pig Hive Sqoop Flume Oozie Lucene Avro etc.) and other AJAX tools/ Frameworks.
• o Knowledge of analytics or Machine Learning Workflows pipelines and engines strongly preferred. Experience developing and maintaining distributed elastic micro- service applications that self- heal in the event of failures
• o Experience with Anomaly detection pattern matching with capability to correlate business solution to ML algorithms is strongly preferred. Experience with Kafka Spark Docker Kubernetes or Mesos.
• o Programming and language skills
• Demonstrated experience with object- oriented design and coding with Java / J2EE using Spring / Struts framework.
• Proficiency on Linux. Understanding and experience with UNIX / Shell scripting
• Good to have:
• Machine Learning :
• o Knowledge of analytics or Machine Learning Workflows pipelines and engines strongly preferred
• o Experience in building machine learning applications and broad knowledge of machine learning APIs tools and open source libraries
• o Experience with Anomaly detection pattern matching with capability to correlate business solution to ML algorithms is strongly preferred
• o Experience working with Python or R language script. Having a good grasp of Machine Learning concepts from preprocessing to modeling and evaluating results.
• Education & Experience
• Position requires a Bachelor s degree in Computer Science Engineering Information Systems Business Administration or a related field followed by 10 years of progressively responsible experience with systems analysis design and operations.
• Knowledge/ Skills
• Requires knowledge across multiple business and technical environments covering a large range of business functions and capabilities
• Requires financial acumen in terms of monitoring controlling and reporting budget expenditure
• Technology Core Competencies
• Adaptive Communication
• Agile Practices
• Programming Languages and Frameworks
• SDLC Methodologies and Practices
• System/ Platform Domain Knowledge
• Industry and Company Knowledge
• Organizational Change Management
• Technical Acumen
• Technology Industry Trends.
• Person can be based out of Gurgaon or Bangalore it is not location specific. Please refer to the Job description above

Job Summary