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Responsibilities:
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
6-10 years of relevant experience in Apps Development or systems analysis role
A candidate is keen to work on various tools and technologies for successful implementation of ML models on different platforms.
Build out the machine learning and data infrastructure to ensure smooth, continuous operation of the major ML models
Experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
Provide thought leadership for all data solution that includes designing, developing and implementing solutions that meet and exceed expectations.
Have extensively worked on databases (SQL, PostGre, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark
Hands on experience on designing and developing Data pipelines for Data ingestion or Transformation using Python (Pyspark)/Spark SQL, Impala
Experience in building and optimizing 'big data' pipelines, architecture and datasets.
Able to develop and maintain API interfaces with Third party data vendors, experience in Pivotal Cloud foundry (PCF), OpenShift, BlueData, Kafka, Docker tools, AWS, AppDynamics, CI/CD processes etc. would be an added advantage
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Education:
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Anticipated Posting Close Date:
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